Book Chapters

Plain Text

Verma, A., Bhattacharya, P., Patel, Y., Shah, K., Tanwar, S., Khan, B. (2022). Data Localization and Privacy-Preserving Healthcare for Big Data Applications: Architecture and Future Directions. In: Singh, P.K., Kolekar, M.H., Tanwar, S., Wierzchoń, S.T., Bhatnagar, R.K. (eds) Emerging Technologies for Computing, Communication and Smart Cities. Lecture Notes in Electrical Engineering, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-19-0284-0_18

BibText

@InProceedings{10.1007/978-981-19-0284-0_18,
author="Verma, Ashwin
and Bhattacharya, Pronaya
and Patel, Yogesh
and Shah, Komal
and Tanwar, Sudeep
and Khan, Baseem",
editor="Singh, Pradeep Kumar
and Kolekar, Maheshkumar H.
and Tanwar, Sudeep
and Wierzcho{'{n}}, S{l}awomir T.
and Bhatnagar, Raj K.",
title="Data Localization and Privacy-Preserving Healthcare for Big Data Applications: Architecture and Future Directions",
booktitle="Emerging Technologies for Computing, Communication and Smart Cities",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="233--244",
abstract="Verma, AshwinBhattacharya, PronayaPatel, YogeshShah, KomalTanwar, SudeepKhan, BaseemWith the exponential rise of generated big data in Healthcare 4.0 ecosystems, the data is shared among multiple stakeholders for analysis and data collection process. During the data collection process, a public data set is released from privately collected data through anonymizing critical and sensitive attribute fields. However, existing privacy preservation techniques are often susceptible to linkage and statistical-based attacks that releases sensitive attributes of the patient. Thus, researchers worldwide have shifted attention towards privacy preservation of healthcare data. Owing to the risk of release of critical attributes, well-defined privacy-preservation techniques and ethical data collection process are much-sought issues. Thus, in this paper, we present a systematic survey of data localization issues coupled with privacy preservation mechanisms, specifically in the context of the healthcare industry. In privacy preservation, we present key techniques like K-anonymity, I-diversity, t-closeness, aggregation, removal of linkage-based records, homomorphic encryption, and noise-based schemes. The survey intends to help existing healthcare practitioners, stakeholders, and researchers design effective data localization and privacy preservation mechanisms to safeguard critical and sensitive patient data.",
isbn="978-981-19-0284-0"
}

Plain Text

Bhattacharya, P., Patel, F., Ralegankar, V., Thakkar, B., Tanwar, S., Abouhawwash, M. (2022). Trusted 6G-Envisioned Dynamic Spectrum Allocation: A Reference Model, Layered Architecture, and Use-Case. In: Singh, P.K., Kolekar, M.H., Tanwar, S., Wierzchoń, S.T., Bhatnagar, R.K. (eds) Emerging Technologies for Computing, Communication and Smart Cities. Lecture Notes in Electrical Engineering, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-19-0284-0_30

BibText

@InProceedings{10.1007/978-981-19-0284-0_30,
author="Bhattacharya, Pronaya
and Patel, Farnazbanu
and Ralegankar, Vishaka
and Thakkar, Bhaumik
and Tanwar, Sudeep
and Abouhawwash, Mohammad",
editor="Singh, Pradeep Kumar
and Kolekar, Maheshkumar H.
and Tanwar, Sudeep
and Wierzcho{'{n}}, S{l}awomir T.
and Bhatnagar, Raj K.",
title="Trusted 6G-Envisioned Dynamic Spectrum Allocation: A Reference Model, Layered Architecture, and Use-Case",
booktitle="Emerging Technologies for Computing, Communication and Smart Cities",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="405--418",
abstract="Bhattacharya, PronayaPatel, FarnazbanuRalegankar, VishakaThakkar, BhaumikTanwar, SudeepAbouhawwash, MohammadSpectrum allocation among multiple telecom providers is challenged with a fair spectrum allocation process and collusion among multiple telecom parties involved in spectrum bids. As spectrum licensing have shifted toward decentralization, blockchain-based spectrum allocation can address the limitations through a fair and trusted bidding process, and spectrum allocation which is transparent to all bidders. Moreover, the spectrum allocation process has shifted to dynamic spectrum allocations, and thus in the coming future, owing to the inherent advantages of sixth-generation (6G) networks, with high network reliability, user bandwidth, high-precision, ultra-high reliability, and extreme flexibility, all presented as networked-in-a-box service, dynamic spectrum allocation in 6G-envisioned networks is a reality in near future. In light of these facts, we present in this paper, a comprehensive examination of the integration of a blockchain-based scheme for dynamic spectrum access in 6G-envisioned communications. We present the layered reference architecture and highlight a case study of future blockchain-based spectrum access for 6G-serviced network access. The paper serves as starting foundation toward the build of effective blockchain-based spectrum allocation schemes with effective networked serviced applications.",
isbn="978-981-19-0284-0"
}

Plain Text

Saraswat, D. et al. (2022). Internet eXchange Points: A Systematic Case Study in Indian Context. In: Singh, P.K., Kolekar, M.H., Tanwar, S., Wierzchoń, S.T., Bhatnagar, R.K. (eds) Emerging Technologies for Computing, Communication and Smart Cities. Lecture Notes in Electrical Engineering, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-19-0284-0_53

BibText

@InProceedings{10.1007/978-981-19-0284-0_53,
author="Saraswat, Deepti
and Bhattacharya, Pronaya
and Bhavsar, Samprat
and Dave, Hardik
and Patel, Karan
and Punjani, Shivam
and Verma, Ashwin
and Tanwar, Sudeep",
editor="Singh, Pradeep Kumar
and Kolekar, Maheshkumar H.
and Tanwar, Sudeep
and Wierzcho{'{n}}, S{l}awomir T.
and Bhatnagar, Raj K.",
title="Internet eXchange Points: A Systematic Case Study in Indian Context",
booktitle="Emerging Technologies for Computing, Communication and Smart Cities",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="731--745",
abstract="At present, Internet eXchange points (IXPs) drive the communication backbone of modern Internet, that allow the Internet to handle the high volume of data traffic. IXPs support critical infrastructures like clouds, data centers, and heterogeneous networks, and thus, it is predicted that the IXPs crossing traffic volume would reach 5016 exabytes by 2030. To cater to this high demand, researchers globally have addressed novel solutions of IXPs peering management, and service orchestration in clouds, data centers, and computational servers. IXP simplifies peering connections of different autonomous system (AS) by reducing the portion of Internet service providers (ISPs) traffic via upstream transit provider of latter, thereby minimizing data rate consumption cost. Although IXPs have been the resilient backbone of the modern Internet, research on the study of IXP is still in its early stages. In IXPs, the data packets follow an optimum path from source to reach to the destination through multiple hops via different AS networks. Thus, motivated by the aforementioned discussions, the article presents a systematic study of IXPs in the Indian context, and have analyzed the IXPs performance on publicly available data sets. We have presented comparative analysis in terms of connected AS average data rate, and user-level context bifurcations. Thus, the analysis intends to be a starting point for building smart solutions for the creation of robust IXPs that improves network services at a global scale.",
isbn="978-981-19-0284-0"
}

Plain Text

Bodkhe, U., Verma, A., Saraswat, D., Bhattacharya, P., Tanwar, S. (2022). Adoption of Blockchain for Data Privacy in 6G-Envisioned Augmented Reality: Opportunities and Challenges. In: Singh, P.K., Kolekar, M.H., Tanwar, S., Wierzchoń, S.T., Bhatnagar, R.K. (eds) Emerging Technologies for Computing, Communication and Smart Cities. Lecture Notes in Electrical Engineering, vol 875. Springer, Singapore. https://doi.org/10.1007/978-981-19-0284-0_38

BibText

@InProceedings{10.1007/978-981-19-0284-0_38,
author="Bodkhe, Umesh
and Verma, Ashwin
and Saraswat, Deepti
and Bhattacharya, Pronaya
and Tanwar, Sudeep",
editor="Singh, Pradeep Kumar
and Kolekar, Maheshkumar H.
and Tanwar, Sudeep
and Wierzcho{'{n}}, S{l}awomir T.
and Bhatnagar, Raj K.",
title="Adoption of Blockchain for Data Privacy in 6G-Envisioned Augmented Reality: Opportunities and Challenges",
booktitle="Emerging Technologies for Computing, Communication and Smart Cities",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="519--532",
abstract="The widespread adoption of real-interactivity, fuelled with developments in wireless communication infrastructures, such as sixth generation (6G), made augmented reality (AR) a possibility in a range of vertical applications. AR integrates the digital visuals into a virtual space that emulates the real-world feedback for the user. It supports a range of haptic and interactive communication and thus has attracted the interest of the research community to provide useful AR frameworks. However, as the user-private data is communicated through open channels, it raises privacy and security concerns. In parallel, decentralized computing has shifted resource provisioning to near device interactions that support the real-time connectivity of AR. To preserve privacy and induce trust among AR stakeholders, blockchain (BC)-based AR use cases are presented by researchers. However, the existing surveys have not focused on reference architectures and implementation challenges. Motivated by the research gap, the paper presents a systematic survey of the integration of BC to induce data privacy in AR ecosystems. A comparative analysis is presented, and the potential application of BC-based AR is discussed. A case study on VoRtex enterprise is presented, and a supporting architectural framework is discussed. The survey intends to present the readers deep insights about BC adoption in AR that would motivate industry practitioners, academicians and researchers to propose scalable BC-integrated solutions in AR/VR-based ecosystems.",
isbn="978-981-19-0284-0"
}

Plain Text

Tanwar, S. (2022). Introduction to Blockchain Technology. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_1

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Introduction to Blockchain Technology",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="1--41",
abstract="Blockchain is a modern technology that brings trust and reliability to various business operations. This is because it has concrete characteristics such as decentralized, immutable ledger, and cryptographic solutions. Moreover, various critical business operations need security and privacy solutions and they rely on blockchain technology to provide a feasible solution to alleviate security risks. However, it is challenging to decide which type of blockchain one should adopt to encounter security threats. A blockchain learner needs to know the prerequisites and collaborative technologies involved in implementing the blockchain network. Taking care of the aforementioned objectives, this chapter convey the fundamentals of blockchain technology, where it briefly discusses the blockchain and its architecture, along with its needs and features. Additionally, this chapter has given comprehensive details on the implementation platforms used to develop blockchain-based solutions.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_1",
url="https://doi.org/10.1007/978-981-19-1488-1_1"
}

Plain Text

Tanwar, S. (2022). Blockchain Revolution from 1.0 to 5.0: Technological Perspective. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_2

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Blockchain Revolution from 1.0 to 5.0: Technological Perspective",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="43--61",
abstract="Since the inception of bitcoin application in 2008, several trust-based global solutions have been developed to overcome the malicious intent that occurs in critical applications. Adopting blockchain technology resolves the issues related to frauds in various sectors like banks, finance, and government. It was a massive concern as fraudulent activities were carried out on a large scale to maneuver the business operation. A blockchain network's capabilities are sufficient to address these aforementioned issues. With blockchain, the third-party services were brought to a halt, and digital signature was associated with every task, thus, making blockchain a secure network. The chapter presents different forms of blockchain that evolved over the years and the methods it has adopted to transform into a system that conducts transactions in a trusted, safe, and secure environment. Further, this chapter first introduces the origin of blockchain. Then it discusses how blockchain generations varied with time as demands grew and technological innovations that keep evolving at a rapid pace. Finally, we discuss the elements of blockchain, its working, benefits, and limitations of blockchain.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_2",
url="https://doi.org/10.1007/978-981-19-1488-1_2"
}

Plain Text

Tanwar, S. (2022). Decentralization and Architecture of Blockchain Technology. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_3

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Decentralization and Architecture of Blockchain Technology",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="63--81",
abstract="In this chapter, we have described the necessity of decentralization in the current business market, which still resorts to a centralized system. It includes the methods of decentralization which include disintermediation which removes the intermediaries from the centralized system to provide complete decentralization, and competition which gives partial decentralization. A comparative analysis of centralized, distributed, and decentralization is conducted. However, it is also essential to measure the correctness of the decentralization once it is adopted by the application or platform. For that, a decentralization index has been formulated using Proof of Work (PoW) and Proof of Stake (PoS). The subsequent section discusses the benefits and challenges of decentralization in blockchain technology. Then in Notion of distributed consensus, the working of consensus algorithms with permissionless protocol is discussed. Lastly, this chapter involved a case study on blockchain-based decentralized supply chain management.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_3",
url="https://doi.org/10.1007/978-981-19-1488-1_3"
}

Plain Text

Tanwar, S. (2022). Basics of Cryptographic Primitives for Blockchain Development. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_4

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Basics of Cryptographic Primitives for Blockchain Development",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="83--111",
abstract="Cryptographic algorithms are the basic building blocks of a secure system and protocols. A security protocol is a set of measures to accomplish required security objectives by employing suitable security mechanisms. Security mechanisms are generally referred to as cryptographic functions, which have the fundamental property of representing the data in another form. Diverse kinds of security protocols are in practice, such as authentication, non-repudiation, and key management protocols. As one of the crypto-intensive technologies, Blockchain has become a scorching topic. Many security and privacy issues have been addressed for Blockchain supported by cryptographic primitives. Basic cryptographic primitives include hash primitives, digital signature, and encryption primitives which are incorporated in Blockchain. This chapter has discussed hash primitives such as SHA-256, SHA-512, and Ethash. Digital signatures such as Elliptic Curve Digital Signature Algorithm are the current signature scheme in Bitcoin. Schnorr signatures and BLS signatures rectify issues faced by ECDSA. All the algorithms work on symmetric and asymmetric key encryption, which are discussed in detail. This chapter also provided implementations for some of these topics, which will help in understanding the concepts better. The study of cryptographic primitives will be helpful for cryptographers to research and evaluate cryptographic solutions in Blockchain.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_4",
url="https://doi.org/10.1007/978-981-19-1488-1_4"
}

Plain Text

Tanwar, S. (2022). Smart Contracts for Building Decentralized Applications. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_5

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Smart Contracts for Building Decentralized Applications",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="113--152",
abstract="Smart contracts are an integral part of blockchain technology that automates business operations by removing intermediaries. Leading organizations such as real estate, finance, banking, and health care have adopted it due to its intrinsic features: transparency, integrity, privacy, efficiency, and confidentiality. There are various platforms available supported by high-level programming languages to implement and deploy smart contracts. Researchers are molding modern technologies like Artificial Intelligence (AI) into smart contracts to make them more effective and reliable. However, a few vulnerabilities or risks need to be taken care of while implementing smart contracts. This chapter gives an overview of smart contracts, including the history, advantages, and disadvantages, and the need for smart contracts. Further, the different blockchain platforms related to smart contracts are discussed. Then, the implementation details of smart contracts are explained, i.e., fundamentals of Solidity programming. Finally, this chapter shows the implementation of different smart contract use cases with Solidity source codes such as oil mining, online banking, voting, telesurgery, and remote patient monitoring systems.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_5",
url="https://doi.org/10.1007/978-981-19-1488-1_5"
}

Plain Text

Tanwar, S. (2022). Distributed Consensus for Permissionless Environment. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_6

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Distributed Consensus for Permissionless Environment",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="153--189",
abstract="Day-by-day, both data and network size are growing at a rapid rate. It is essential to keep private data secure and also prevent malicious activities. In a permissionless blockchain, nodes do not take permission for participation. One can directly mine a block by performing an open task. Security can be a significant issue here. Also, there is no third-party involvement in blockchain, so keeping trust among peers is an essential feature. The distributed public ledger stores history of old transactions to maintain trust between peers. To prevent malicious activities, consensus algorithms are used, which are defined as a complex task that a miner must perform to mine new blocks into the blockchain. In this chapter, various consensus mechanisms are mentioned with merits and demerits. With high computation power and digital currencies, nodes can quickly get into the blockchain and perform malicious activities. For that, various consensus algorithms are used like Proof of Work (PoW), Proof of Stake (PoS), Proof of Burn (PoB), Proof of Capacity (PoC), etc. Every consensus is developed to solve issues of previously developed consensus and provide more efficiency concerning resource allocation, scalability, security against attacks, power consumption, etc. Bitcoin is one of the use cases of blockchain, which is developed upon the PoW consensus method. Various companies have developed cryptocurrencies that are based on consensus algorithms. Consensus can be implemented on smart contracts to govern specific rules in the blockchain. While working with extensive transactions and a large chain of blocks, scalability, efficiency, and malicious attacks are significant issues. We have done a comparative analysis of all the consensus algorithms based on such issues.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_6",
url="https://doi.org/10.1007/978-981-19-1488-1_6"
}

Plain Text

Tanwar, S. (2022). Mining Procedure in Distributed Consensus. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_7

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Mining Procedure in Distributed Consensus",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="191--209",
abstract="The rapid growth of blockchain technology over the preceding decade has attracted the interest of both scholars and businesses. Bitcoin and cryptocurrency are the foundations of blockchain technology, widely recognized as a decentralized, immutable ledger system for transaction data ordering and an open network structure. Anyone may join the network because it is an accessible network framework. It might also be a legal or illegal entity. This involves the implementation of a blockchain that is both secure and tamper-proof. Mining is a core of a distributed consensus mechanism that maintains transaction consistency, making the network secure and efficient. Every miner must establish their identity in an access network to join the blockchain network. The miner must complete numerous tasks and allocate their time and resources to become a member of the network and earn a reward. This process has been designed in such a manner that it requires a large number of processing resources and power. With the help of an example, this chapter explains the entire process of mining a block. This mining process creates an incentive for miners to contribute more toward the network. Difficulty requirements are an important factor to consider during the mining procedure of a block. As a result, the connection between mining and hash cash is thoroughly examined. Moreover, the growing demand for blockchain technology highlights the need for mining pools and their many sorts, as well as comparative research. In addition, this chapter explores the permissionless and permissioned consensus algorithm and its working process. This chapter explores the types of sources, cryptocurrency, and required energy to execute any specific consensus algorithm.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_7",
url="https://doi.org/10.1007/978-981-19-1488-1_7"
}

Plain Text

Tanwar, S. (2022). Mining Procedure in Distributed Consensus. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_7

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Mining Procedure in Distributed Consensus",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="191--209",
abstract="The rapid growth of blockchain technology over the preceding decade has attracted the interest of both scholars and businesses. Bitcoin and cryptocurrency are the foundations of blockchain technology, widely recognized as a decentralized, immutable ledger system for transaction data ordering and an open network structure. Anyone may join the network because it is an accessible network framework. It might also be a legal or illegal entity. This involves the implementation of a blockchain that is both secure and tamper-proof. Mining is a core of a distributed consensus mechanism that maintains transaction consistency, making the network secure and efficient. Every miner must establish their identity in an access network to join the blockchain network. The miner must complete numerous tasks and allocate their time and resources to become a member of the network and earn a reward. This process has been designed in such a manner that it requires a large number of processing resources and power. With the help of an example, this chapter explains the entire process of mining a block. This mining process creates an incentive for miners to contribute more toward the network. Difficulty requirements are an important factor to consider during the mining procedure of a block. As a result, the connection between mining and hash cash is thoroughly examined. Moreover, the growing demand for blockchain technology highlights the need for mining pools and their many sorts, as well as comparative research. In addition, this chapter explores the permissionless and permissioned consensus algorithm and its working process. This chapter explores the types of sources, cryptocurrency, and required energy to execute any specific consensus algorithm.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_7",
url="https://doi.org/10.1007/978-981-19-1488-1_7"
}

Plain Text

Tanwar, S. (2022). Distributed Consensus for Permissioned Blockchain. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_8

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Distributed Consensus for Permissioned Blockchain",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="211--249",
abstract="Consensus protocols are used to manage large databases in a distributed environment without trust among participating nodes in the network. The choice of a specific protocol relies on the characteristics and purpose of the system itself. This chapter aims to identify the practical advantages and disadvantages of consensus protocols. Seven consensus protocols for permissioned environment are covered in this chapter. All the consensus algorithms solve either crash faults or byzantine faults. PAXOS and RAFT, falling under crash fault tolerance, are intended for systems with no apprehension of unreliable users. The notion of byzantine fault was developed from the Three General Byzantine Problems and Lamport Shostak Pease Algorithm. Practical Byzantine Fault Tolerance (DBFT) is intended for systems with fewer nodes. Federated Byzantine Fault Tolerance (FBFT) shows better scalability and is more appropriate for large-scale systems but can resist fewer malicious nodes. Proof of Authority (PoA) and Proof of Elapsed Time (PoET), even though used in both permissionless and permissioned environments, its characteristics make it more suitable for the permissioned environment. PoA can resist the most significant number of malicious nodes without hindering the system's functioning. Various companies have developed applications that are based on consensus algorithms. While working with extensive transactions and a large chain of blocks, scalability, efficiency, and malicious attacks are significant issues. This chapter also present a comparative analysis of all the consensus algorithms based on such issues.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_8",
url="https://doi.org/10.1007/978-981-19-1488-1_8"
}

Plain Text

Tanwar, S. (2022). Consensus Scalability in Blockchain Network. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_9

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Consensus Scalability in Blockchain Network",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="251--272",
abstract="The consensus mechanisms are used in a blockchain to achieve the essential agreement on a single value among various multiagent and distributed processes. The consensus algorithm is categorized into two networks, i.e., permissionless and permissioned networks of blockchain. The permissionless network consists of Proof of Work (PoW), Proof of Stake (PoS), Bitcoin-NG, and others. The permissioned network contains PBFT-based consensus mechanisms. This mechanism performs the roles in a leader selection and in a mining procedure to enhance the system's transaction throughput. First, we identify the issues of PoW consensus and find out the problems such as scalability in terms of transaction throughput and consensus finality. These two parameters have been required to enhance the consensus mechanism so that it can improve the system's performance. Then, this chapter described the bitcoin-NG, which improves the scalability of the PoW consensus mechanism. We also highlight steps of scaling the byzantine to improve the transaction throughput and performance of the system. Finally, we consider various scenarios of leader and process to solve the issue of consensus scalability with different PBFT-based consensus mechanisms. All mechanism runs various transactions within a specific time and avoids the forks that occurred during the insertion process of the new block. Thus, the chapter presents multiple research directions to improve the scalability of the consensus by identifying various issues in the current consensus mechanism.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_9",
url="https://doi.org/10.1007/978-981-19-1488-1_9"
}

Plain Text

Tanwar, S. (2022). Building Trust in Blockchain Network Using Collective Signing. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_10

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Building Trust in Blockchain Network Using Collective Signing",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="273--286",
abstract="Collective signing is used to protect the authorities and clients from malicious users. It uses the consigning protocol (CoSi) that gives affirmation of the authentication. CoSi protocol ensures the validity of the authoritative disclosure. Nowadays, bitcoin can be a game-changer in the digital world. However, completing any bitcoin transaction still requires around 10 min for the transaction to be committed. A protocol based on byzantine consensus, a ByzCoin, is introduced to solve this problem. The byzcoin maximizes the scalable collective signing and executing the transactions in a few seconds compared to the bitcoin transactions of committing. The byzcoin maintains the public memberships of bitcoin by dynamically creating a new group in such a way that it establishes group based who has high power for calculating hash and which displays the successful block mines. Byzcoin removes problems like double spending and self-mining by generating collectively signed transaction blocks in a few seconds of executing the transaction. This chapter discusses the fundamentals regarding collective signing. However, it is utilized in byzcoin, the problems faced in deploying byzcoin, and how BLS multisignature plays a crucial role.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_10",
url="https://doi.org/10.1007/978-981-19-1488-1_10"
}

Plain Text

Tanwar, S. (2022). Adoption of Blockchain in Enterprise Computing. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_11

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Adoption of Blockchain in Enterprise Computing",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="287--319",
abstract="Nowadays, enterprises require more security because it integrates with national and geographical boundaries. Reaching the security level in the traditional way of noting the progress of the business is not a feasible solution. Many of the enterprises use IT technologies to improve profit. To achieve security in the business cycle, blockchain provides a prominent solution. As well as, blockchain can help to identify faulty ends. Blockchain also provides facilities to select public or private blockchains as per requirement. In this chapter, we have defined the enterprise computing and the use of the blockchain in enterprise computing. Various actors and components of blockchain solutions are also discussed in detail. The scenario of the blockchain in the enterprise is explained with a digi locker, and supply chain management case study. The possibilities of adapting blockchain in today's buzzing enterprises are addressed as well.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_11",
url="https://doi.org/10.1007/978-981-19-1488-1_11"
}

Plain Text

Tanwar, S. (2022). Blockchain for Supply Chain Management. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_12

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Blockchain for Supply Chain Management",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="321--353",
abstract="Nowadays, supply chain management is a prime concern to transfer products/medicines at a time without any interference. The management of the movement of products and services is referred to as supply chain management, and it encompasses all procedures that turn raw materials into items. It includes effectively optimizing a company's supply-side processes to increase consumer growth and achieve a competitive edge in the market. This process is shared with multiple parties; if a party is trusted, it results in a reliable supply chain. The product can be tracked using sensors in the supply chain management, but it sometimes does not provide reliable tracking. Blockchain technology addresses this issue and provides transparency to the supply chain data so that users facilitate with end-to-end visibility, which helps to locate the contaminated source quickly and generates trust in the supply chain. The use of blockchain in the supply chain has the potential to increase transparency and traceability while also lowering administrative expenses. A blockchain supply chain can assist participants in managing the supply chain by recording price, date, location, quality, certification, and other sensitive information. The accessibility of this data inside blockchain can improve material supply chain traceability, reduce counterfeit and drop market losses, enhancement of compliance and visibility, expand manufacturing of contracts, and potentially boost an organization's performance. Blockchain uses a smart contract for the verification of stakeholders and to verify product quality. In this process, all required stakeholders are payable in their wallet address after successfully verifying the product's quality. A blockchain-based supply chain makes a supply chain process more reliable, transparent, and easily locate and track the product.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_12",
url="https://doi.org/10.1007/978-981-19-1488-1_12"
}

Plain Text

Tanwar, S. (2022). Blockchain for Government Services. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_13

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Blockchain for Government Services",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="355--383",
abstract="The government sector is suffering from bribe issues, third-party mafias, and many more nowadays, which hinder the overall functions of government services. Blockchain technology is a viable solution that efficiently manages government services to overcome these issues. It is an emerging technology that works on the distributed ledger principle. Elimination of third-party, data transparency, high security, and privacy are the significant characteristics of blockchain technology. Blockchain can be applied for various functionalities in the government sector, including tax payments, land registration, funds tracking, and many more. In tax payments, the primary focus is towards the traceability of taxes and blockchain's immutable ledger stores all traces of historical data transactions, i.e., the record of each and everything. In the land registration scenario, the aim is to eliminate the third party and include transparency using cryptographic hash functions. Andhra Pradesh (a state of India) has taken the initiative and decided to incorporate blockchain technology in its land registration system. Further, this chapter includes various use case scenarios for an in-depth discussion with smart contracts, which explains the technicality of the blockchain-based system.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_13",
url="https://doi.org/10.1007/978-981-19-1488-1_13"
}

Plain Text

Tanwar, S. (2022). Impact of Blockchain on Academic Publishing. In: Blockchain Technology. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-19-1488-1_14

BibText

@Inbook{Tanwar2022,
author="Tanwar, Sudeep",
title="Impact of Blockchain on Academic Publishing",
bookTitle="Blockchain Technology: From Theory to Practice",
year="2022",
publisher="Springer Nature Singapore",
address="Singapore",
pages="385--408",
abstract="Blockchain technology creates a distributed environment where the transactions/records are stored securely and immutably. This would be quite useful in the field of publications, especially in open access academic publications. Academic data is huge and dynamic, a contribution of many authors worldwide, which needs to be updated upon publishing any novel research work. So, maintaining its integrity is a bit tedious with the centralized system architecture. Blockchain manages the aforementioned open access data publication issue using digital rights management, consensus mechanism, and smart contract. This chapter discusses the potential of blockchain technology in the academic publishing sector.",
isbn="978-981-19-1488-1",
doi="10.1007/978-981-19-1488-1_14",
url="https://doi.org/10.1007/978-981-19-1488-1_14"
}

Plain Text

Verma, J.P., Bhattacharya, P., Rathor, A.S., Shah, J., Tanwar, S. (2023). Collaborative Filtering-Based Music Recommendation in View of Negative Feedback System. In: Singh, P.K., Wierzchoń, S.T., Tanwar, S., Rodrigues, J.J.P.C., Ganzha, M. (eds) Proceedings of Third International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-19-1142-2_36

BibText

@InProceedings{10.1007/978-981-19-1142-2_36,
author="Verma, Jai Prakash
and Bhattacharya, Pronaya
and Rathor, Aarav Singh
and Shah, Jaymin
and Tanwar, Sudeep",
editor="Singh, Pradeep Kumar
and Wierzcho{'{n}}, S{l}awomir T.
and Tanwar, Sudeep
and Rodrigues, Joel J. P. C.
and Ganzha, Maria",
title="Collaborative Filtering-Based Music Recommendation in View of Negative Feedback System",
booktitle="Proceedings of Third International Conference on Computing, Communications, and Cyber-Security",
year="2023",
publisher="Springer Nature Singapore",
address="Singapore",
pages="447--460",
abstract="Recommender systems (RS) are information filtering algorithms that suggest users items that they might be interested in. In this paper, the authors have proposed a content-based approach that maintains fresh recommendations in a music recommendation ecosystem that improves by suggesting new recommendations. A collaborative filtering system has been proposed alongside a negative feedback system (NFS). This results in a much newer array of song recommendations based only on the songs which the user likes, and due to NFS, it can be easily recognized by the user with the precision of 16.78{\%}. Analysis of the results reveals that the song recommendations made by the newly proposed system have a significantly lower intersection with songs that users play from general playlists and available music datasets. Thus, the proposed system allows users to discover new recommendations every time they use the NFS recommendation algorithm and thus performs better compared to the old content-based algorithms, such as popularity-based filtering mechanisms.",
isbn="978-981-19-1142-2"
}

Plain Text

Bhatia, A., Asthana, A., Bhattacharya, P., Tanwar, S., Singh, A., Sharma, G. (2023). A Sentiment Analysis-Based Recommender Framework for Massive Open Online Courses Toward Education 4.0. In: Singh, P.K., Wierzchoń, S.T., Tanwar, S., Rodrigues, J.J.P.C., Ganzha, M. (eds) Proceedings of Third International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-19-1142-2_64

BibText

@InProceedings{10.1007/978-981-19-1142-2_64,
author="Bhatia, Akhil
and Asthana, Anansha
and Bhattacharya, Pronaya
and Tanwar, Sudeep
and Singh, Arunendra
and Sharma, Gulshan",
editor="Singh, Pradeep Kumar
and Wierzcho{'{n}}, S{l}awomir T.
and Tanwar, Sudeep
and Rodrigues, Joel J. P. C.
and Ganzha, Maria",
title="A Sentiment Analysis-Based Recommender Framework for Massive Open Online Courses Toward Education 4.0",
booktitle="Proceedings of Third International Conference on Computing, Communications, and Cyber-Security",
year="2023",
publisher="Springer Nature Singapore",
address="Singapore",
pages="817--827",
abstract="The emergence and confluence of progressive technologies like artificial intelligence, Internet of things, and automation in Industry 4.0 have also driven parallel domains like the education sector. Today's digital education aligns with the progressive dynamics of Industry 4.0, and with the increasing mix of information and communication technology (ICT), we have entered the era of Education 4.0. The ICT tools gather a lot of data content, which is generated through data generation in the form of text, audio, images, and video in online social networks (OSNs), blogs, posts, and many others. Usage of ICT has facilitated the conduction of open courses to masses of people connected through heterogeneous networked applications. Such courses termed as massive open online course (MOOC) platforms have grown significantly and have reaped high profits. However, users browsing for suitable courses in MOOC platforms are faced with challenges of selecting and filtering courses, based on current demands, effectiveness, and pre-requisite knowledge. Scientifically, it is observed that due to incorrect course selection, users are many times not satisfied with the MOOC course, which results in high dropouts. In the past, researchers have addressed the issue through recommender systems for users, but recommendation systems require effective filtering mechanisms for proper results. Thus, to address the research gap, in this paper, we propose an approach that is based on skills information from users' LinkedIn profiles combined with ratings and review data of courses. For experimental validation, we consider a Udemy MOOC user public dataset and apply natural language processing (NLP) to contextually organize user reviews, skill-set keywords from LinkedIn and refine search keywords. The proposed results indicate the efficacy of the framework toward correct MOOC recommendations for active learners and users.",
isbn="978-981-19-1142-2"
}

Plain Text

Pallavi Asthana, Sudeep Tanwar, Anil Kumar, Ankit Yadav, Sumita Mishra, Experiential Learning Through Web-Based Application for Peer Review of Project: A Case Study Based on Interdisciplinary Teams, In: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 361-375, 2021.

BibText

Pallavi Asthana, Sudeep Tanwar, Anil Kumar, Ankit Yadav, Sumita Mishra, Experiential Learning Through Web-Based Application for Peer Review of Project: A Case Study Based on Interdisciplinary Teams, In: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 361-375, 2021.

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Umesh Bodkhe, Sudeep Tanwar, Pronaya Bhattacharya, Ashwin Verma, Blockchain Adoption for Trusted Medical Records in Healthcare 4.0 Applications: A Survey, In: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 361-375, 2021.

BibText

 Umesh Bodkhe, Sudeep Tanwar, Pronaya Bhattacharya, Ashwin Verma, Blockchain Adoption for Trusted Medical Records in Healthcare 4.0 Applications: A Survey, In: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 361-375, 2021.

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Vivek Kumar Prasad, Sudeep Tanwar, Madhuri Bhavsar, C2B-SCHMS: Cloud Computing and Bots Security for COVID-19 Data and Healthcare Management Systems, In: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 787-797, 2021.

BibText

Vivek Kumar Prasad, Sudeep Tanwar, Madhuri Bhavsar, C2B-SCHMS: Cloud Computing and Bots Security for COVID-19 Data and Healthcare Management Systems, In: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 787-797, 2021.

Plain Text

Piyushi Jain, Drashti Patel, Jai Prakash Verma, Sudeep Tanwar, Computer-Aided-Diagnosis System for Symptom Detection of Breast and Cervical Cancer, in: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security, Springer Nature, 743-758, 2021.

BibText

Piyushi Jain, Drashti Patel, Jai Prakash Verma, Sudeep Tanwar, Computer-Aided-Diagnosis System for Symptom Detection of Breast and Cervical Cancer, in: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security,   Springer Nature, 743-758, 2021.

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S. K. Gupta, S. Kumar, S. Tyagi, S. Tanwar, "Energy Ecient Routing Protocols for Wireless Sensor Network", Springer Book on Wireless Sensor Networks, pp. 1-25, 2019.

BibText

@Inbook{Gupta2020,
author="Gupta, Sumit Kumar
and Kumar, Sachin
and Tyagi, Sudhanshu
and Tanwar, Sudeep",
editor="Singh, Pradeep Kumar
and Bhargava, Bharat K.
and Paprzycki, Marcin
and Kaushal, Narottam Chand
and Hong, Wei-Chiang",
title="Energy Efficient Routing Protocols for Wireless Sensor Network",
bookTitle="Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="275--298",
isbn="978-3-030-40305-8",
doi="10.1007/978-3-030-40305-8_14",
url="https://doi.org/10.1007/978-3-030-40305-8_14"
}

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Khanpara P., Tanwar S. (2020) Additive Manufacturing: Concepts and Technologies. In: Nayyar A., Kumar A. (eds) A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham. https://doi.org/10.1007/978-3-030-14544-6_10

BibText

@Inbook{Khanpara2020,
author="Khanpara, Pimal
and Tanwar, Sudeep",
editor="Nayyar, Anand
and Kumar, Akshi",
title="Additive Manufacturing: Concepts and Technologies",
bookTitle="A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="171--185",
isbn="978-3-030-14544-6",
doi="10.1007/978-3-030-14544-6_10",
url="https://doi.org/10.1007/978-3-030-14544-6_10"
}

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Lavingia K., Tanwar S. (2020) Augmented Reality and Industry 4.0. In: Nayyar A., Kumar A. (eds) A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham. https://doi.org/10.1007/978-3-030-14544-6_8

BibText

@Inbook{Lavingia2020,
author="Lavingia, Kruti
and Tanwar, Sudeep",
editor="Nayyar, Anand
and Kumar, Akshi",
title="Augmented Reality and Industry 4.0",
bookTitle="A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="143--155",
isbn="978-3-030-14544-6",
doi="10.1007/978-3-030-14544-6_8",
url="https://doi.org/10.1007/978-3-030-14544-6_8"
}

Plain Text

Mishra S., Singh P., Tanwar S. (2020) Sensor’s Energy and Performance Enhancement Using LIBP in Contiki with Cooja. In: Khanna A., Gupta D., Bhattacharyya S., Snasel V., Platos J., Hassanien A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_29

BibText

@InProceedings{10.1007/978-981-15-0324-5_29,
author="Mishra, Shambhavi
and Singh, Pawan
and Tanwar, Sudeep",
editor="Khanna, Ashish
and Gupta, Deepak
and Bhattacharyya, Siddhartha
and Snasel, Vaclav
and Platos, Jan
and Hassanien, Aboul Ella",
title="Sensor's Energy and Performance Enhancement Using LIBP in Contiki with Cooja",
booktitle="International Conference on Innovative Computing and Communications",
year="2020",
publisher="Springer Singapore",
address="Singapore",
pages="321--336",
isbn="978-981-15-0324-5"
}

Plain Text

Prasad V.K., Tanwar S., Bhavsar M.D. (2021) Advance Cloud Data Analytics for 5G Enabled IoT. In: Tanwar S. (eds) Blockchain for 5G-Enabled IoT. Springer, Cham. https://doi.org/10.1007/978-3-030-67490-8_7

BibText

Prasad V.K., Tanwar S., Bhavsar M.D. (2021) Advance Cloud Data Analytics for 5G Enabled IoT. In: Tanwar S. (eds) Blockchain for 5G-Enabled IoT. Springer, Cham. https://doi.org/10.1007/978-3-030-67490-8_7

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Nair A.R., Tanwar S. (2021) Fog Computing Architectures and Frameworks for Healthcare 4.0. In: Tanwar S. (eds) Fog Computing for Healthcare 4.0 Environments. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-46197-3_3

BibText

Nair A.R., Tanwar S. (2021) Fog Computing Architectures and Frameworks for Healthcare 4.0. In: Tanwar S. (eds) Fog Computing for Healthcare 4.0 Environments. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-46197-3_3

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Bodkhe U., Chaklasiya J., Shah P., Tanwar S., Vora M. (2020) Markov Model for Password Attack Prevention. In: Singh P., Pawłowski W., Tanwar S., Kumar N., Rodrigues J., Obaidat M. (eds) Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems, vol 121. Springer, Singapore. https://doi.org/10.1007/978-981-15-3369-3_61

BibText

@InProceedings{10.1007/978-981-15-3369-3_61,
author="Bodkhe, Umesh
and Chaklasiya, Jay
and Shah, Pooja
and Tanwar, Sudeep
and Vora, Maanuj",
editor="Singh, Pradeep Kumar
and Paw{\l}owski, Wies{\l}aw
and Tanwar, Sudeep
and Kumar, Neeraj
and Rodrigues, Joel J. P. C.
and Obaidat, Mohammad Salameh",
title="Markov Model for Password Attack Prevention",
booktitle="Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019)",
year="2020",
publisher="Springer Singapore",
address="Singapore",
pages="831--843",
isbn="978-981-15-3369-3"
}

Plain Text

H. Vachhani, M. S. Obiadat, A. Thakkar, V. Shah, R. Sojitra, J. Bhatia, and S. Tanwar, "Machine Learning Based Stock Market Analysis: A Short Survey", Springer International Conference on Innovative Data Communication Technologies and Application (ICIDCA-2019), Lecture Notes on Data Engineering and Communications Technologies, Springer, Coimbatore, Tamil Nadu, India, 17-18th October, 2019, vol 46, pp. 12-26.

BibText

@InProceedings{10.1007/978-3-030-38040-3_2,
author="Vachhani, Hrishikesh
and Obiadat, Mohammad S.
and Thakkar, Arkesh
and Shah, Vyom
and Sojitra, Raj
and Bhatia, Jitendra
and Tanwar, Sudeep",
editor="Raj, Jennifer S.
and Bashar, Abul
and Ramson, S. R. Jino",
title="Machine Learning Based Stock Market Analysis: A Short Survey",
booktitle="Innovative Data Communication Technologies and Application",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="12--26",
isbn="978-3-030-38040-3"
}

Plain Text

B. Khan and S. Tanwar, "Issues Associated with Microgrid Integration", Book titled, H. Alhelou et al. (eds.), Handbook of Research on Smart Power System Operation and Control, IGI Global, pp. 252-264, 2019.

BibText

@incollection{khan2019issues,
  title={Issues associated with microgrid integration},
  author={Khan, Baseem and Tanwar, Sudeep},
  booktitle={Handbook of research on smart power system operation and control},
  pages={252--264},
  year={2019},
  publisher={IGI Global}
}

Plain Text

Nimje A.A., Panwar A.B., Gupta A., Tanwar S. (2019) Capacity Estimation of Electric Vehicle Aggregator for Ancillary Services to the Grid. In: Mittal M., Tanwar S., Agarwal B., Goyal L. (eds) Energy Conservation for IoT Devices. Studies in Systems, Decision and Control, vol 206. Springer, Singapore. https://doi.org/10.1007/978-981-13-7399-2_10

BibText

@Inbook{Nimje2019,
author="Nimje, Akhilesh Arvind
and Panwar, Akhilesh Baliram
and Gupta, Annima
and Tanwar, Sudeep",
editor="Mittal, Mamta
and Tanwar, Sudeep
and Agarwal, Basant
and Goyal, Lalit Mohan",
title="Capacity Estimation of Electric Vehicle Aggregator for Ancillary Services to the Grid",
bookTitle="Energy Conservation for IoT Devices : Concepts, Paradigms and Solutions",
year="2019",
publisher="Springer Singapore",
address="Singapore",
pages="235--257",
isbn="978-981-13-7399-2",
doi="10.1007/978-981-13-7399-2_10",
url="https://doi.org/10.1007/978-981-13-7399-2_10"
}

Plain Text

Gupta S.K., Kumar S., Tyagi S., Tanwar S. (2020) Dynamic Distance Based Lifetime Enhancement Scheme for HWSN. In: Singh P., Kar A., Singh Y., Kolekar M., Tanwar S. (eds) Proceedings of ICRIC 2019. Lecture Notes in Electrical Engineering, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-29407-6_29

BibText

@InProceedings{10.1007/978-3-030-29407-6_29,
author="Gupta, Sumit Kumar
and Kumar, Sachin
and Tyagi, Sudhanshu
and Tanwar, Sudeep",
editor="Singh, Pradeep Kumar
and Kar, Arpan Kumar
and Singh, Yashwant
and Kolekar, Maheshkumar H.
and Tanwar, Sudeep",
title="Dynamic Distance Based Lifetime Enhancement Scheme for HWSN",
booktitle="Proceedings of ICRIC 2019",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="389--406",
isbn="978-3-030-29407-6"
}

Plain Text

Bhattacharya P., Tanwar S., Shah R., Ladha A. (2020) Mobile Edge Computing-Enabled Blockchain Framework—A Survey. In: Singh P., Kar A., Singh Y., Kolekar M., Tanwar S. (eds) Proceedings of ICRIC 2019. Lecture Notes in Electrical Engineering, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-29407-6_57

BibText

@InProceedings{10.1007/978-3-030-29407-6_57,
author="Bhattacharya, Pronaya
and Tanwar, Sudeep
and Shah, Rushabh
and Ladha, Akhilesh",
editor="Singh, Pradeep Kumar
and Kar, Arpan Kumar
and Singh, Yashwant
and Kolekar, Maheshkumar H.
and Tanwar, Sudeep",
title="Mobile Edge Computing-Enabled Blockchain Framework---A Survey",
booktitle="Proceedings of ICRIC 2019",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="797--809",
isbn="978-3-030-29407-6"
}

Plain Text

Bhattacharya P., Tiwari A.K., Ladha A., Tanwar S. (2020) A Proposed Buffer Based Load Balanced Optical Switch with AO-NACK Scheme in Modern Optical Datacenters. In: Singh P., Panigrahi B., Suryadevara N., Sharma S., Singh A. (eds) Proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering, vol 605. Springer, Cham. https://doi.org/10.1007/978-3-030-30577-2_8

BibText

@InProceedings{10.1007/978-3-030-30577-2_8,
author="Bhattacharya, Pronaya
and Tiwari, Amod Kumar
and Ladha, Akhilesh
and Tanwar, Sudeep",
editor="Singh, Pradeep Kumar
and Panigrahi, Bijaya Ketan
and Suryadevara, Nagender Kumar
and Sharma, Sudhir Kumar
and Singh, Amit Prakash",
title="A Proposed Buffer Based Load Balanced Optical Switch with AO-NACK Scheme in Modern Optical Datacenters",
booktitle="Proceedings of ICETIT 2019",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="95--106",
isbn="978-3-030-30577-2"
}

Plain Text

Tanwar S., Obaidat M.S., Tyagi S., Kumar N. (2019) Online Signature-Based Biometric Recognition. In: Obaidat M., Traore I., Woungang I. (eds) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7_10

BibText

@Inbook{Tanwar2019,
author="Tanwar, Sudeep
and Obaidat, Mohammad S.
and Tyagi, Sudhanshu
and Kumar, Neeraj",
editor="Obaidat, Mohammad S.
and Traore, Issa
and Woungang, Isaac",
title="Online Signature-Based Biometric Recognition",
bookTitle="Biometric-Based Physical and Cybersecurity Systems",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="255--285",
isbn="978-3-319-98734-7",
doi="10.1007/978-3-319-98734-7_10",
url="https://doi.org/10.1007/978-3-319-98734-7_10"
}

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Tanwar S., Tyagi S., Kumar N., Obaidat M.S. (2019) Ethical, Legal, and Social Implications of Biometric Technologies. In: Obaidat M., Traore I., Woungang I. (eds) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7_21

BibText

@Inbook{Tanwar2019,
author="Tanwar, Sudeep
and Tyagi, Sudhanshu
and Kumar, Neeraj
and Obaidat, Mohammad S.",
editor="Obaidat, Mohammad S.
and Traore, Issa
and Woungang, Isaac",
title="Ethical, Legal, and Social Implications of Biometric Technologies",
bookTitle="Biometric-Based Physical and Cybersecurity Systems",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="535--569",
isbn="978-3-319-98734-7",
doi="10.1007/978-3-319-98734-7_21",
url="https://doi.org/10.1007/978-3-319-98734-7_21"
}

Plain Text

Nair A., Prasad V K, Tanwar S., "Software Errors", in Book titled, A. Nayyar (ed.) Software Testing, BPB Publications, pp. 83-130, 2019.

BibText

@Inbook{
author="Nair A., Prasad V K, Tanwar S.",
title="Software Errors",
bookTitle="Software Testing",
publisher="BPB Publications",
pages="83-130",
year="2019"
}

Plain Text

Singh S., Prasad V K, Tanwar S., S. Tyagi "Software as a Service", in Book titled, Instant Guide to Cloud Computing, BPB Publications, pp. 95-118, 2019.

BibText

@Inbook{
author="Singh S., Prasad V K, Tanwar S., S. Tyagi",
title="Software as a Service",
bookTitle="Instant Guide to Cloud Computing",
publisher="BPB Publications",
pages="95-118",
year="2019"
}

Plain Text

Nair A., Prasad V K, Tanwar S., "Specific Cloud Service Models", in Book titled, Instant Guide to Cloud Computing, A. Nayyar (ed.), BPB Publications, pp. 299-342, 2019.

BibText

@Inbook{
author="Nair A., Prasad V K, Tanwar S.",
title="Specific Cloud Service Models",
bookTitle="Instant Guide to Cloud Computing",
publisher="BPB Publications",
pages="299-342",
year="2019"
}

Plain Text

Prasad V K, Nair A., Tanwar S., "Resource Allocation in Cloud Computing", in Book titled, Instant Guide to Cloud Computing, A. Nayyar (ed.), BPB Publications, pp. 343-376, 2019.

BibText

@Inbook{
author="Prasad V K, Nair A., Tanwar S.",
title= "Resource Allocation in Cloud Computing",
bookTitle="Instant Guide to Cloud Computing",
publisher="BPB Publications",
pages="343-376",
year="2019"
}

Plain Text

Bhavsar R., Thakkar A., Sanghavi P., Tanwar S. (2019) Resolving Conflicts in Requirement Engineering Through Agile Software Development: A Comparative Case Study. In: Bhattacharyya S., Hassanien A., Gupta D., Khanna A., Pan I. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-13-2324-9_35

BibText

@InProceedings{10.1007/978-981-13-2324-9_35,
author="Bhavsar, Raj
and Thakkar, Arjun
and Sanghavi, Pavan
and Tanwar, Sudeep",
editor="Bhattacharyya, Siddhartha
and Hassanien, Aboul Ella
and Gupta, Deepak
and Khanna, Ashish
and Pan, Indrajit",
title="Resolving Conflicts in Requirement Engineering Through Agile Software Development: A Comparative Case Study",
booktitle="International Conference on Innovative Computing and Communications",
year="2019",
publisher="Springer Singapore",
address="Singapore",
pages="349--357",
isbn="978-981-13-2324-9"
}

Plain Text

Thakkar P., Varma K., Ukani V., Mankad S., Tanwar S. (2019) Combining User-Based and Item-Based Collaborative Filtering Using Machine Learning. In: Satapathy S., Joshi A. (eds) Information and Communication Technology for Intelligent Systems. Smart Innovation, Systems and Technologies, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-13-1747-7_17

BibText

@InProceedings{10.1007/978-981-13-1747-7_17,
author="Thakkar, Priyank
and Varma, Krunal
and Ukani, Vijay
and Mankad, Sapan
and Tanwar, Sudeep",
editor="Satapathy, Suresh Chandra
and Joshi, Amit",
title="Combining User-Based and Item-Based Collaborative Filtering Using Machine Learning",
booktitle="Information and Communication Technology for Intelligent Systems",
year="2019",
publisher="Springer Singapore",
address="Singapore",
pages="173--180",
isbn="978-981-13-1747-7"
}

Plain Text

Tanwar S., Verma S., Tyagi S. (2019) Energy Harvesting-Based Two-Hop Clustering for Wireless Mesh Network. In: Pati B., Panigrahi C., Misra S., Pujari A., Bakshi S. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-13-1708-8_42

BibText

@InProceedings{10.1007/978-981-13-1708-8_42,
author="Tanwar, Sudeep
and Verma, Shivangi
and Tyagi, Sudhanshu",
editor="Pati, Bibudhendu
and Panigrahi, Chhabi Rani
and Misra, Sudip
and Pujari, Arun K.
and Bakshi, Sambit",
title="Energy Harvesting-Based Two-Hop Clustering for Wireless Mesh Network",
booktitle="Progress in Advanced Computing and Intelligent Engineering",
year="2019",
publisher="Springer Singapore",
address="Singapore",
pages="463--473",
isbn="978-981-13-1708-8"
}

Plain Text

Patel D., Narmawala Z., Tanwar S., Singh P.K. (2019) A Systematic Review on Scheduling Public Transport Using IoT as Tool. In: Panigrahi B., Trivedi M., Mishra K., Tiwari S., Singh P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 670. Springer, Singapore. https://doi.org/10.1007/978-981-10-8971-8_4

BibText

@InProceedings{10.1007/978-981-10-8971-8_4,
author="Patel, Dharti
and Narmawala, Zunnun
and Tanwar, Sudeep
and Singh, Pradeep Kumar",
editor="Panigrahi, Bijaya Ketan
and Trivedi, Munesh C.
and Mishra, Krishn K.
and Tiwari, Shailesh
and Singh, Pradeep Kumar",
title="A Systematic Review on Scheduling Public Transport Using IoT as Tool",
booktitle="Smart Innovations in Communication and Computational Sciences",
year="2019",
publisher="Springer Singapore",
address="Singapore",
pages="39--48",
isbn="978-981-10-8971-8"
}

Plain Text

Trivedi H., Tanwar S., Thakkar P. (2019) Software Defined Network-Based Vehicular Adhoc Networks for Intelligent Transportation System: Recent Advances and Future Challenges. In: Singh P., Paprzycki M., Bhargava B., Chhabra J., Kaushal N., Kumar Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-13-3804-5_24

BibText

@InProceedings{10.1007/978-981-13-3804-5_24,
author="Trivedi, Hardik
and Tanwar, Sudeep
and Thakkar, Priyank",
editor="Singh, Pradeep Kumar
and Paprzycki, Marcin
and Bhargava, Bharat
and Chhabra, Jitender Kumar
and Kaushal, Narottam Chand
and Kumar, Yugal",
title="Software Defined Network-Based Vehicular Adhoc Networks for Intelligent Transportation System: Recent Advances and Future Challenges",
booktitle="Futuristic Trends in Network and Communication Technologies",
year="2019",
publisher="Springer Singapore",
address="Singapore",
pages="325--337",
isbn="978-981-13-3804-5"
}

Plain Text

Tanwar S., Ramani T., Tyagi S. (2018) Dimensionality Reduction Using PCA and SVD in Big Data: A Comparative Case Study. In: Patel Z., Gupta S. (eds) Future Internet Technologies and Trends. ICFITT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-319-73712-6_12

BibText

@InProceedings{10.1007/978-3-319-73712-6_12,
author="Tanwar, Sudeep
and Ramani, Tilak
and Tyagi, Sudhanshu",
editor="Patel, Zuber
and Gupta, Shilpi",
title="Dimensionality Reduction Using PCA and SVD in Big Data: A Comparative Case Study",
booktitle="Future Internet Technologies and Trends",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="116--125",
isbn="978-3-319-73712-6"
}

Plain Text

Tanwar S., Tyagi S., Kumar S. (2018) The Role of Internet of Things and Smart Grid for the Development of a Smart City. In: Hu YC., Tiwari S., Mishra K., Trivedi M. (eds) Intelligent Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 19. Springer, Singapore. https://doi.org/10.1007/978-981-10-5523-2_3

BibText

@InProceedings{10.1007/978-981-10-5523-2_3,
author="Tanwar, Sudeep
and Tyagi, Sudhanshu
and Kumar, Sachin",
editor="Hu, Yu-Chen
and Tiwari, Shailesh
and Mishra, Krishn K.
and Trivedi, Munesh C.",
title="The Role of Internet of Things and Smart Grid for the Development of a Smart City",
booktitle="Intelligent Communication and Computational Technologies",
year="2018",
publisher="Springer Singapore",
address="Singapore",
pages="23--33",
isbn="978-981-10-5523-2"
}