Secure Intelligent Sustainable Applications Using IoT for Society 6.0

Beschreibung

This book provides an exploration of secure and intelligent applications using the Internet of Things (IoT), focusing on the latest techniques that combine artificial intelligence, lightweight cryptography, and security frameworks for human-centric applications as emphasized in Society 6.0, which expands this idea toward a human-centered, sustainable, and resilient future. The book offers readers a blend of theoretical foundations, cutting-edge algorithms, and real-world implementations designed to safeguard IoT systems in critical domains such as smart healthcare, precision agriculture, security and surveillance, disaster prediction and monitoring, and environmental monitoring etc. Key topics include recent advancements in lightweight cryptography tailored for constrained IoT devices, AI and machine learning-based intrusion detection systems, and the application of federated and split learning for privacy-preserving anomaly detection. This book is designed for researchers, faculty members, graduate students, security professionals, and developers who are interested in the intersection of IoT, artificial intelligence, and cybersecurity. 

• Explores secure applications in IoT in Society 6.0, with the goal of a human-centered, sustainable, and resilient future;
• Offers theoretical foundations, cutting-edge algorithms, and real-world implementations to safeguard IoT systems;
• Designed for researchers, faculty members, graduate students, security professionals, and developers in IoT.

This book provides an exploration of secure and intelligent applications using the Internet of Things (IoT), focusing on the latest techniques that combine artificial intelligence (AI), lightweight cryptography, and security frameworks for human-centric applications as emphasized in Society 6.0, which expands this idea toward a human-centered, sustainable, and resilient future. The book offers readers a blend of theoretical foundations, cutting-edge algorithms, and real-world implementations designed to safeguard IoT systems in critical domains such as smart healthcare, precision agriculture, security and surveillance, disaster prediction and monitoring, and environmental monitoring etc. Key topics include recent advancements in lightweight cryptography tailored for constrained IoT devices, AI and machine learning-based intrusion detection systems, and the application of federated and split learning for privacy-preserving anomaly detection. This book is designed for researchers, faculty members, graduate students, security professionals, and developers who are interested in the intersection of IoT, artificial intelligence, and cybersecurity. 

Autor*in

Sohail Saif

Themen in »Secure Intelligent Sustainable Applications Using IoT for Society 6.0«

Secure IoT Intelligent IoT Applications Green IoT Sustainability IoT Security Lightweight Cryptography Intrusion Detection Systems Federated Learning Privacy-Preserving IoT

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