AI-Driven Security for Next-Generation IoT Systems

Description

AI-Driven Security for Next-Generation IoT Systems.

This book explores the integration of Artificial Intelligence (AI) technologies into next-generation IoT security, presenting recent methods, frameworks, and strategies designed to protect increasingly complex connected systems. It examines the shift from traditional security approaches toward intelligent, adaptive, and vulnerability-aware solutions capable of responding to rapidly evolving cyber threats. The book also discusses key architectures and frameworks that support secure and privacy-preserving IoT implementations.

As IoT environments continue to expand, this book highlights the importance of applying advanced artificial intelligence and machine learning techniques to address emerging security challenges. It emphasizes the critical relationship between security, scalability, automation, and reliability in future IoT ecosystems. Through a collection of detailed chapters, readers will explore innovative approaches transforming IoT protection, including deep learning-based intrusion detection, intelligent threat analysis, and advanced authentication mechanisms using technologies such as elliptic curve cryptography.

Covering both foundational concepts and cutting-edge developments, this book provides valuable insights into the methodologies shaping the future of IoT cybersecurity. It demonstrates how AI-driven solutions can improve threat detection, strengthen data protection, and enhance the resilience of connected devices and networks.

This resource is ideal for advanced students in computer science, cybersecurity, artificial intelligence, wireless communications, and Internet of Things technologies. It is also a valuable reference for researchers, security professionals, and industry practitioners working with advanced IoT systems, data protection, AI-powered applications, and emerging cybersecurity solutions.