Green Intrusion Detection Systems for IoT tackles the pressing security challenges posed by the rapid expansion of the Internet of Things (IoT). Traditional Intrusion Detection Systems (IDS) often fail to meet the unique demands of IoT networks, which are characterized by resource constraints, scalability issues, and power consumption concerns. This book introduces sustainable and energy-efficient IDS frameworks specifically designed for IoT environments. It delves into innovative lightweight security models and energy-aware IDS mechanisms that strike a balance between security efficacy, computational efficiency, and environmental sustainability. The book is structured to provide a comprehensive understanding of IDS in IoT contexts. Chapter 1 sets the stage by discussing the transformative role of IoT and the need for sustainable security solutions. Chapter 2 offers a foundational overview of IDS, highlighting the distinctions between traditional and Green IDS. Chapter 3 focuses on lightweight security models essential for resource-constrained IoT devices, while Chapter 4 delves into energy-efficient network designs.

Chapter 5 explores green IDS mechanisms, including machine learning and distributed approaches. Chapter 6 addresses IoT vulnerabilities and mitigation strategies. Chapter 7 provides practical examples of sustainable IDS in various smart environments. Chapter 8 consolidates real-world case studies, and Chapter 9 discusses future directions in sustainable IoT security. The book concludes with actionable recommendations aligning technological advancements with global sustainability goals. "Green Intrusion Detection Systems for IoT" offers invaluable insights for academics and researchers in cybersecurity, IoT, and sustainability, as well as industry professionals developing IoT systems. By bridging the gap between security and sustainability, this book serves as a crucial resource for those seeking to develop and implement advanced IDS solutions tailored for next-generation IoT infrastructures.