Description

How secure are intelligent computing networks (ICNs) when data, algorithms, and computing power intertwine? As ICNs become the backbone of modern digital ecosystems, their growing complexity introduces unprecedented risks in security and safety. Integrated Security and Safety of Intelligent Computing Networks offers a groundbreaking, coupling-aware perspective that redefines how we understand and fortify ICN infrastructures.

This book goes beyond conventional security frameworks by examining the intricate, dynamic relationships among the three pillars of ICNs--data, computing power, and algorithms. It provides a systematic exploration of how their deep coupling can both empower and endanger these systems. Through a well-structured progression from foundational theories to real-world case studies, it uncovers the limitations of current defenses and introduces innovative, scenario-driven methodologies that address distributed attacks, data poisoning, and algorithmic vulnerabilities. From edge computing threats to federated learning backdoors, the book bridges theoretical modeling with practical solutions across system, data, and algorithm planes.

Designed for researchers, engineers, and graduate students specializing in cybersecurity, intelligent systems, and next-generation computing, this monograph delivers essential insights and tools to build trustworthy ICNs. With a strong focus on coupling-aware design and integrated defense strategies, it provides not only technical depth but also strategic foresight--empowering readers to navigate and shape the future of secure intelligent infrastructures.