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For Authors
Submit a ProposalBlockchain Solutions for Securing Internet of Things Networks
One Line Description
Bridge the gap between theoretical blockchain concepts and real-world IoT security with this indispensable guide to building decentralized, tamper-proof ecosystems that eliminate data tampering and unauthorized access.
Audience
Students, teachers, researchers, and industry professionals specializing in computer science and information technology.
Students, teachers, researchers, and industry professionals specializing in computer science and information technology.
Description
As IoT devices proliferate across industries, the need for robust security solutions becomes increasingly critical. This book is a pioneering work that delves into the integration of blockchain technology with Internet of Things (IoT) infrastructures to enhance security, reliability, and trust. It explores how blockchain technology can serve as a foundational layer to address common vulnerabilities in IoT, such as data tampering, privacy breaches, and unauthorized access, by providing a decentralized, immutable ledger for IoT operations. The book offers a comprehensive introduction to the fundamental concepts of both blockchain and IoT, explaining the unique challenges posed by the IoT ecosystem, including scalability, privacy, and interoperability issues, and how blockchain technology can potentially resolve these challenges. It also provides practical insights through case studies that demonstrate successful blockchain implementations in various IoT scenarios, such as supply chain management, healthcare, smart cities, and energy grids. These case studies not only illustrate the practical applications but also highlight the technical strategies, performance metrics, and organizational changes required to deploy blockchain effectively. This book addresses the gap in current literature by providing not only theoretical frameworks but practical guidance and real-world applications, making it an indispensable resource for professionals and researchers in the fields of cybersecurity, IoT, and blockchain.
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As IoT devices proliferate across industries, the need for robust security solutions becomes increasingly critical. This book is a pioneering work that delves into the integration of blockchain technology with Internet of Things (IoT) infrastructures to enhance security, reliability, and trust. It explores how blockchain technology can serve as a foundational layer to address common vulnerabilities in IoT, such as data tampering, privacy breaches, and unauthorized access, by providing a decentralized, immutable ledger for IoT operations. The book offers a comprehensive introduction to the fundamental concepts of both blockchain and IoT, explaining the unique challenges posed by the IoT ecosystem, including scalability, privacy, and interoperability issues, and how blockchain technology can potentially resolve these challenges. It also provides practical insights through case studies that demonstrate successful blockchain implementations in various IoT scenarios, such as supply chain management, healthcare, smart cities, and energy grids. These case studies not only illustrate the practical applications but also highlight the technical strategies, performance metrics, and organizational changes required to deploy blockchain effectively. This book addresses the gap in current literature by providing not only theoretical frameworks but practical guidance and real-world applications, making it an indispensable resource for professionals and researchers in the fields of cybersecurity, IoT, and blockchain.
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Author / Editor Details
Swati Vashisht is an Assistant Professor at the GL Bajaj Institute of Technology and Management with more than 16 years of research and academic experience. She has published more than 31 papers in international journals and conferences, as well as ceveral book chapters and holds five patents. Her areas of interest include cryptography and machine learning.
Swati Vashisht is an Assistant Professor at the GL Bajaj Institute of Technology and Management with more than 16 years of research and academic experience. She has published more than 31 papers in international journals and conferences, as well as ceveral book chapters and holds five patents. Her areas of interest include cryptography and machine learning.
Santosh Kumar Srivastava, PhD is an Associate Professor in the Department of Computer Science and Engineering - Artificial Intelligence and Machine Learning at the GL Bajaj Institute of Technology and Management with more than 21 years of experience. He has published more than 18 papers in reputed national and international journals, conferences, and seminars, and holds seven patents. His research focuses on computer networking, wireless technology, network security, and cloud computing.
Praveen Kumar, PhD is a Professor and Director at Astana IT University with more than 18 years of experience in teaching and research. He has published more than 140 research papers in international journals and conferences and holds ten patents and copyrights. His areas of interest include big data analytics, data mining, and machine learning.
Shubhi Gupta is an Assistant Professor at Amity University with more than 16 years of research and teaching experience. She has published several book chapters and more than 30 research papers in international journals of repute, and holds four patents. Her areas of interest include cryptography and machine learning.
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