Book

Description

Adversarial Intelligence: Leveraging Neuromorphic Computing for Stealthy Cyber Attacks explores the emerging intersection of artificial intelligence, neuromorphic computing, and cybersecurity, examining how brain-inspired computing architectures can influence the development of sophisticated and stealthy cyber attacks. The book investigates adversarial intelligence as a framework for understanding how intelligent systems can be used to identify vulnerabilities, adapt to defensive mechanisms, and support evasive attack strategies. It discusses the principles of neuromorphic computing, its event-driven and energy-efficient architecture, and its potential implications for modern cyber threat landscapes. By connecting concepts from artificial intelligence, cybersecurity, adversarial machine learning, and neuromorphic systems, this work provides a conceptual and technical perspective on the opportunities and challenges emerging from the convergence of these fields. It also highlights the importance of developing resilient cybersecurity strategies capable of addressing increasingly adaptive and intelligent threats. This book is intended for students, researchers, cybersecurity professionals, AI practitioners, and readers interested in the future of intelligent computing and cyber defense.