Improving Security and Energy Efficiency in IoT Networks

A practical guide to designing secure and energy-efficient IoT networks through cross-layer frameworks, lightweight cryptography, and machine learning-based intrusion detection, Improving Security and Energy Efficiency in IoT Networks equips readers with actionable strategies to balance security and energy efficiency in resource-constrained IoT environments. It delivers hands-on frameworks validated through simulations and hardware testbeds, covering adaptive routing, lightweight encryption, and ML-driven anomaly detection. It also includes mini-projects, review questions, and reproducible configurations for real-world deployments.Key Features:

• Effectively balances security and energy efficiency through cross-layer design principles.
• Comprehensively integrates lightweight cryptography, adaptive routing, and ML-based anomaly detection.
• Practically validates concepts with simulations, hardware testbeds, and hands-on mini projects.
• Companion resources include configuration files, scripts, and experiment notes to support reproducibility and classroom use.

Ideal for readers interested in computing & it.