AI-Driven Cybersecurity for Autonomous Systems

Name: AI-Driven Cybersecurity for Autonomous Systems
Price: 399.50 AUD
Availability: OutOfStock
ISBN: 9798337329222

Toufik Mzili, Zahra Oughannou, Nebojsa Bacanin , Mohamed Hanine

$498.95 $399.50

Hardback

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English

Igi Global Scientific Publishing
10 April 2026

Network security; Artificial intelligence

AI-driven cybersecurity for autonomous systems protects intelligent, automated technologies from cyber threats, such as autonomous vehicles, drones, and industrial robots. As these systems become integrated into infrastructure, their reliance on real-time data processing, machine learning, and network connectivity makes them vulnerable to attacks. AI-driven cybersecurity offers proactive defense mechanisms by using algorithms that can detect anomalies, predict threats, and respond to intrusions faster than traditional methods. This approach enhances the resilience and safety of autonomous systems while ensuring their reliability in high-stakes environments. AI-Driven Cybersecurity for Autonomous Systems explores the intersection of cybersecurity, AI, and robotics, addressing technological advancements, ethical dilemmas, and risk mitigation strategies. It examines theoretical frameworks, practical applications, and policy implications, with a focus on securing AI-driven robotic systems in critical sectors like healthcare, defense, and smart cities. This book covers topics such as risk mitigation, robotics, and threat detection, and is a useful resource for security professionals, computer engineers, academicians, researchers, and data scientists.

Edited by: Toufik Mzili, Zahra Oughannou, Nebojsa Bacanin, Mohamed Hanine, Widi Aribowo
Imprint: Igi Global Scientific Publishing
Dimensions: Height: 254mm, Width: 178mm, Spine: 21mm
Weight: 803g
ISBN: 9798337329222
Pages: 370
Publication Date: 10 April 2026
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Mzili Toufik holds the position of Assistant Professor in the Department of Computer Science at the Faculty of Science, Chouaib Doukkali University. Recognized as a distinguished researcher, he has made noteworthy contributions to the fields of metaheuristics, optimization, and scheduling problems. His scholarly impact is evident through numerous publications in esteemed Q1 journals. Additionally, Dr. Mzili Toufik has demonstrated his expertise as a peer reviewer for several prestigious journals, showcasing his commitment to advancing the academic discourse in his field.