Ensuring AI-enabled Zero Trust Security for Smart City and Healthcare Applications Part A
- 1 Edición, Volumen 146 - 1 de marzo de 2027
- Última edición
- Editores: S. Krishnaveni, Pethuru Raj, ANNIE UTHRA, Mithileysh Sathiyanarayanan, Robin Ram Mohan Doss
- Idioma: Inglés
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… Leer más
Descripción
Descripción
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.
Puntos claves
Puntos claves
- 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
De interès para
De interès para
Cybersecurity researchers and practitioners; Computer scientists specialising in AI and intelligent systems; Smart city architects and urban technology professionals; Healthcare IT and health informatics specialists; IoT, edge computing, and distributed systems researchers; Digital health and telemedicine professionals; Information security managers and technology consultants; Graduate students and advanced academics in cybersecurity, AI, and healthcare technology
Índice
Índice
1. AI-Powered Smart Cities
2. Foundations of AI-Driven Zero Trust Security in Smart Cities and Healthcare
3. The Evolution of Urban Security from Traditional to AI-Driven Zero Trust Models
4. Integrating AI and Zero Trust for the Future of Smart City Security
5. Building Resilient and Secure Smart Cities with AI and Zero Trust
6. AI and Zero Trust in Autonomous Vehicles for Smart Cities
7. AI for Secure Medical Image Management in Zero Trust Healthcare System
8. AI-Enhanced Security Automation for Smart City IoT Networks with Zero Trust
9. AI and Edge Computing for Securing IoT in Smart Cities and Healthcare
10. AI for Securing Healthcare Wearables and Remote Patient Monitoring Systems
11. AI-Driven MITRE Attack Mapping for Zero Trust Enabled Threat Intelligence
12. Quantum Computing Transforming Healthcare Cybersecurity
13. Emerging AI-Enabled Zero Trust Security for Smart City and Healthcare Applications
14. AI-Enabled Zero Trust Models for Secure Telemedicine and Remote Diagnostics
15. Blockchain-based Healthcare Data Security using Cryptographic Algorithms
16. Digital Twin–Assisted Zero Trust Security: A Framework for Healthcare Data Interoperability
17. TRUST-CHAIN: A Federated AI Trust Scoring Framework with Blockchain-Enforced Zero-Trust Access Control for Healthcare
2. Foundations of AI-Driven Zero Trust Security in Smart Cities and Healthcare
3. The Evolution of Urban Security from Traditional to AI-Driven Zero Trust Models
4. Integrating AI and Zero Trust for the Future of Smart City Security
5. Building Resilient and Secure Smart Cities with AI and Zero Trust
6. AI and Zero Trust in Autonomous Vehicles for Smart Cities
7. AI for Secure Medical Image Management in Zero Trust Healthcare System
8. AI-Enhanced Security Automation for Smart City IoT Networks with Zero Trust
9. AI and Edge Computing for Securing IoT in Smart Cities and Healthcare
10. AI for Securing Healthcare Wearables and Remote Patient Monitoring Systems
11. AI-Driven MITRE Attack Mapping for Zero Trust Enabled Threat Intelligence
12. Quantum Computing Transforming Healthcare Cybersecurity
13. Emerging AI-Enabled Zero Trust Security for Smart City and Healthcare Applications
14. AI-Enabled Zero Trust Models for Secure Telemedicine and Remote Diagnostics
15. Blockchain-based Healthcare Data Security using Cryptographic Algorithms
16. Digital Twin–Assisted Zero Trust Security: A Framework for Healthcare Data Interoperability
17. TRUST-CHAIN: A Federated AI Trust Scoring Framework with Blockchain-Enforced Zero-Trust Access Control for Healthcare
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Volumen: 146
- Publicado: 1 de marzo de 2027
- Idioma: Inglés
Sobre el editor
Sobre el editor
PR
Pethuru Raj
Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience.
He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.
Afiliaciones y experiencia
Reliance Jio Platforms Ltd.. (RJIL), Bangalore, India