Author: Dr. C. Emilin Shyni

ISBN: 978-81-998885-9-3

DOI: https://doi.org/10.59646/601

Date of Publication: February 16, 2026

Preface

The rapid proliferation of the Internet of Things (IoT) has transformed industries, cities, and daily life by interconnecting billions of devices, sensors, and intelligent systems; however, this unprecedented connectivity has also introduced complex security, privacy, and trust challenges that traditional centralized architectures struggle to address. Blockchain-Enabled IoT Security: Identity, Trust & Decentralization is designed to explore how decentralized ledger technologies, cryptographic foundations, and distributed trust models can fundamentally reshape IoT security architectures. This book systematically builds from the foundations of IoT architecture and threat landscapes to advanced decentralized trust concepts, blockchain fundamentals, and zero-trust principles adapted for constrained IoT environments. It provides an in-depth examination of blockchain data structures, consensus mechanisms suitable for IoT ecosystems, lightweight blockchain implementations, and scalable on-chain and off-chain models. A significant focus is placed on decentralized identity (DID), self-sovereign identity (SSI), verifiable credentials, hardware-rooted identities, and token-based access control models to establish robust device authentication and fine-grained authorization. The text further investigates secure communication frameworks, distributed storage systems, tamper-proof audit trails, quantum-resistant cryptography, and trust anchors across multi-layer IoT communication stacks. In exploring smart contracts and autonomous IoT systems, the book addresses device coordination, decentralized autonomous organizations (DAOs), oracle design, secure firmware validation, fail-safe mechanisms, and automated trust negotiation. It also examines blockchain-based threat detection, collaborative intrusion prevention, anomaly detection, machine learning–blockchain hybrid models, routing attack mitigation, botnet prevention, and distributed reputation systems for device trust scoring. Finally, the book connects theory to real-world implementation through applications in smart cities, industrial IoT, healthcare systems, asset tracking, anti-counterfeiting, and smart grid infrastructures. Structured to balance conceptual depth with practical insight, this work equips researchers, students, cybersecurity professionals, and system architects with the analytical frameworks and technical strategies required to design resilient, scalable, and privacy-preserving IoT ecosystems built upon decentralized trust.