Blockchain Solutions for Securing Internet of Things Networks - Couverture rigide

Couverture rigide

ISBN 10 : 1394417101 ISBN 13 : 9781394417100

Editeur : Wiley-Scrivener, 2026

Synopsis

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.

As IoT devices proliferate across industries, the need for robust security solutions becomes increasingly critical. This book explores the integration of blockchain technology with Internet of Things (IoT) infrastructures to enhance security, reliability, and trust. It examines how blockchain can address common IoT vulnerabilities―including data tampering, privacy breaches, and unauthorized access―by providing a decentralized, immutable ledger for IoT operations.

The book introduces the core concepts of blockchain and IoT while explaining the unique challenges of the IoT ecosystem, including scalability, privacy, and interoperability. It provides practical insights through case studies demonstrating blockchain implementations in supply chain management, healthcare, smart cities, and energy grids. These examples highlight not only practical applications but also the technical strategies, performance metrics, and organizational changes required for successful deployment. By combining theoretical frameworks with practical guidance and real-world applications, this work serves as an indispensable resource for professionals and researchers in cybersecurity, IoT, and blockchain.

A propos du livre

À propos de l'auteur

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, several 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.

Détails de l'édition

• Éditeur: Wiley-Scrivener
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1394417101
• ISBN 13: 9781394417100
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 496
• Éditeur: Vashisht Swati, Srivastava Santosh Kumar, Kumar Praveen, Gupta Shubhi
• Coordonnées du fabricant: Easy Access System Europe Oü, 16879218; gpsr.requests@easproject.com; ; Mustamäe tee 50, 10621, Tallinn, Estonia; Tallinn; 10621; Estonie