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Descripción

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.

  • 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

1. Chapter 1: Introduction to IoT security and sustainability - p. 1 2. Chapter 2: Foundations of intrusion detection system for IoT - p. 25 3. Chapter 3: Foundations of lightweight security in IoT - p. 65 4. Chapter 4: Energy-efficient IoT networks - p. 115 5. Chapter 5: Green-ML-based IDS mechanisms - p. 161 6. Chapter 6: Addressing IoT vulnerabilities - p. 241 7. Chapter 7: Integration of sustainable IDS in smart environments - p. 295 8. Chapter 8: Green intrusion detection for real-world IoT deployments - p. 371 9. Chapter 9: Future directions in sustainable IoT security - p. 423 10. Chapter 10: Conclusion - p. 477 11. Index - p. 487

Descripcion
Descripción

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.

  • 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

1. Chapter 1: Introduction to IoT security and sustainability - p. 1 2. Chapter 2: Foundations of intrusion detection system for IoT - p. 25 3. Chapter 3: Foundations of lightweight security in IoT - p. 65 4. Chapter 4: Energy-efficient IoT networks - p. 115 5. Chapter 5: Green-ML-based IDS mechanisms - p. 161 6. Chapter 6: Addressing IoT vulnerabilities - p. 241 7. Chapter 7: Integration of sustainable IDS in smart environments - p. 295 8. Chapter 8: Green intrusion detection for real-world IoT deployments - p. 371 9. Chapter 9: Future directions in sustainable IoT security - p. 423 10. Chapter 10: Conclusion - p. 477 11. Index - p. 487

Indice
Autores
Muestra
Ficha Técnica