Hayat Zaydi – författare

Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications thoroughly explores cybersecurity principles, strategies, and technologies crucial for protecting digital assets and combating evolving cyber threats in critical industries. This book provides indispensable guidance in fortifying cyber defenses for critical infrastructures. Each chapter offers invaluable insights into proactive defense measures, from AI-driven threat management in healthcare systems to practical applications of AI for cyber risk management in critical infrastructures. Unraveling the complexities of contemporary cyber threats, this book empowers readers with the knowledge and tools needed to navigate the intricate landscape of cybersecurity effectively. Through a multidisciplinary approach spanning AI, machine learning, and advanced technologies, it addresses the urgent challenges organizations encounter in securing their digital infrastructure and safeguarding sensitive data from malicious cyber-attacks.

Technical topics discussed in the book include:

AI-driven strategies for advanced malware detection and prevention Hybrid deep learning techniques for precise malware classification Machine learning applications tailored to IoT security challenges Comprehensive exploration of blockchain techniques enhancing IoT security and privacy Practical integration of security analysis modules for proactive threat intelligence.

Designed as an essential reference, this book caters to students, researchers, cybersecurity professionals, and individuals keen on comprehending and tackling contemporary cyber defense and risk assessment challenges. It serves as a valuable resource for enhancing cybersecurity awareness, knowledge, and practical skills in critical industries.

The acceleration of the digital transformation of critical infrastructure, government services, and military systems has profoundly changed the cyber threat landscape. Governments now face cyber risks of unprecedented scale and sophistication, ranging from advanced persistent threats (APTs) and AI-assisted cyber espionage to large-scale ransomware campaigns, hybrid cyber-physical attacks, and information influence operations. In this context, traditional and reactive approaches to cybersecurity are no longer sufficient to ensure effective national cyber defense and resilience. AI-Driven National Cyber Defense and Resilience Strategies offers an in-depth, forward-looking analysis of how artificial intelligence; specifically, machine learning, deep learning, and generative AI; can be leveraged to strengthen national cyber defense capabilities. The book explores the role of AI in improving threat intelligence, intrusion detection, incident response, cyber deception, security orchestration, and large-scale decision support, while highlighting the new risks posed by adversaries themselves equipped with advanced AI capabilities. Bringing together contributions from researchers, industry experts, and institutional decision-makers, this book presents cutting-edge methodologies, innovative architectural frameworks, and concrete use cases from national security operations centers (SOCs), incident response teams (CSIRTs), military cyber commands, and critical infrastructure operators. Particular attention is given to the concepts of AI-driven cyber resilience, including adaptive defense, autonomous response, cyber situational awareness, and collaborative intelligence sharing at the national and international levels. Beyond technological advances, the book critically examines the issues of governance, ethics, trust, and regulation related to the deployment of artificial intelligence in contexts of digital sovereignty and national defense. By bringing together technical innovations, strategic considerations, and regulatory frameworks, this volume is a leading reference for researchers, practitioners, and decision-makers seeking to design resilient, secure, and trustworthy national cyber defense ecosystems in the age of artificial intelligence.

Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications thoroughly explores cybersecurity principles, strategies, and technologies crucial for protecting digital assets and combating evolving cyber threats in critical industries. This book provides indispensable guidance in fortifying cyber defenses for critical infrastructures. Each chapter offers invaluable insights into proactive defense measures, from AI-driven threat management in healthcare systems to practical applications of AI for cyber risk management in critical infrastructures. Unraveling the complexities of contemporary cyber threats, this book empowers readers with the knowledge and tools needed to navigate the intricate landscape of cybersecurity effectively. Through a multidisciplinary approach spanning AI, machine learning, and advanced technologies, it addresses the urgent challenges organizations encounter in securing their digital infrastructure and safeguarding sensitive data from malicious cyber-attacks.Technical topics discussed in the book include:AI-driven strategies for advanced malware detection and preventionHybrid deep learning techniques for precise malware classificationMachine learning applications tailored to IoT security challengesComprehensive exploration of blockchain techniques enhancing IoT security and privacyPractical integration of security analysis modules for proactive threat intelligence.Designed as an essential reference, this book caters to students, researchers, cybersecurity professionals, and individuals keen on comprehending and tackling contemporary cyber defense and risk assessment challenges. It serves as a valuable resource for enhancing cybersecurity awareness, knowledge, and practical skills in critical industries.