Green Intrusion Detection Systems for IoT

Green Intrusion Detection Systems for IoT

tackles the pressing security challenges posed by the rapid expansion of the Internet of Things (IoT). The book delves into innovative, lightweight security models and energy-aware IDS mechanisms that strike a balance between security efficacy, computational efficiency, and environmental sustainability.

Sections discuss the transformative role of IoT and the need for sustainable security solutions

highlight the distinctions between traditional and Green IDS, focus on lightweight security models essential for resource-constrained IoT devices, and delve into energy-efficient network designs.

Additional sections explore green IDS mechanisms, including machine learning and distributed approaches, IoT vulnerabilities and mitigation strategies, practical examples of sustainable IDS in various smart environments, real-world case studies, and future directions in sustainable IoT security.

The book concludes with actionable recommendations that align technological advancements with global sustainability goals.

Key topics include

Introduces energy-efficient IDS frameworks tailored for resource-constrained IoT networks

Explores lightweight security models that optimize power and computational efficiency

Provides real-world case studies across diverse IoT applications

Discusses future trends in AI-driven and quantum-resistant IDS solutions

Aligns IDS development with global sustainability goals and standards