Description
The rapid growth of artificial intelligence, cloud computing, the Internet of Things (IoT), autonomous systems, and digital healthcare has transformed the way modern societies operate. While these technologies provide significant benefits, they also increase energy consumption, carbon emissions, computational costs, and cybersecurity risks. Developing secure digital systems that are also environmentally sustainable has therefore become an important global challenge. Green Cybersecurity Ecosystems: Sustainable Approaches for the Modern World presents recent research on building secure, energy-efficient, and environmentally responsible digital technologies. The book covers Green AI, sustainable cybersecurity, intrusion detection systems, IoT security, cyber-risk estimation, automotive cybersecurity, side-channel attack detection, Agentic AI, Zero Trust Architecture, privacy-preserving AI, and healthcare cybersecurity. The chapters highlight practical solutions that combine artificial intelligence, machine learning, explainable AI, blockchain, federated learning, edge computing, and sustainable computing to improve security while reducing environmental impact. The book also discusses governance, privacy, trust, energy-efficient system design, and responsible AI development. Designed for researchers, academicians, postgraduate students, cybersecurity professionals, industry practitioners, and policymakers, this book provides both theoretical knowledge and practical applications for developing the next generation of secure and sustainable cyber ecosystems.