Ensuring AI-enabled Zero Trust Security for Smart City and Healthcare Applications Part A

S. Krishnaveni · Pethuru Raj · ANNIE UTHRA · Mithileysh Sathiyanarayanan · Robin Ram Mohan Doss

Apr 2027 · Advances in Computers Book 146 · Academic Press

Ebook

362

Pages

Eligible

This book will become available on April 1, 2027. You will not be charged until it is released.

About this ebook

Ensuring AI-enabled Zero Trust Security for Smart City and Healthcare Applications Part A, published as Volume 146 of the serial Advances in Computers, provides a comprehensive examination of the convergence of artificial intelligence, Zero Trust security frameworks, smart city infrastructures, and healthcare technologies. The volume explores how AI-driven security architectures can safeguard increasingly interconnected urban and healthcare ecosystems, addressing challenges associated with IoT networks, autonomous vehicles, wearable devices, telemedicine platforms, medical imaging systems, and healthcare data interoperability. It highlights emerging approaches that integrate AI, blockchain, edge computing, digital twins, federated learning, threat intelligence, and quantum computing to strengthen cyber resilience, privacy protection, and trust management across critical applications. By combining foundational concepts with practical implementations and future-oriented perspectives, this volume serves as an authoritative resource for researchers, cybersecurity professionals, healthcare technologists, and smart city stakeholders seeking to develop secure, adaptive, and resilient digital environments. - Examines the foundations and evolution of AI-driven Zero Trust security frameworks for smart cities and healthcare systems - Explores AI-enabled protection mechanisms for IoT ecosystems, autonomous vehicles, healthcare wearables, and remote monitoring platforms - Highlights emerging technologies including edge computing, blockchain, digital twins, federated AI, and quantum computing for cybersecurity applications - Discusses AI-enhanced security automation, threat intelligence, and MITRE ATT&CK-based security mapping within Zero Trust environments - Addresses secure telemedicine, remote diagnostics, healthcare data sharing, and medical image management challenges - Provides forward-looking perspectives on building resilient, trustworthy, and intelligent urban and healthcare infrastructures

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About the author

Pethuru Raj, PhD, is the principal AI architect at Infocion Inc., Bangalore. Previously, he worked as the vice president and chief architect at the AI division of Reliance Jio Platforms Ltd., Bangalore, IBM Global Cloud Centre of Excellence, Wipro Consulting Services, and Robert Bosch Corporate Research. He has over 25 years of experience in the IT industry and 9 years of research experience. He completed the CSIR-sponsored PhD at Anna University, Chennai. He conducted UGC-sponsored postdoctoral research in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore. He focuses on emerging technologies, including Generative and Agentic AI, AI Model Optimization Techniques, Cloud of Things, Cloud-native and Edge Computing Paradigms, Platform Engineering, 6G Communication, and Blockchain Technologies, as well as Quantum-safe Cryptography Algorithms. He has authored and edited over 75 technology books, published more than 60 research papers, and contributed to more than 55 book chapters.

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