SECURE IOT COMMUNICATION FRAMEWORKS FOR SMART ENERGY SYSTEMS
Suvarna Patil, Avinash Somatkar, Digambar Rane, Rasika Chafle, Priya Gupta, Monali Gulhane
Abstract: Secure communication is essential for reliable smart energy systems built on heterogeneous, resource-constrained Internet of Things devices. This study presents an integrated IoT security framework that combines threat modeling, lightweight authentication, software-defined networking, and machine-learning-based intrusion detection across device, communication, and control layers. Comparative evaluation against conventional, lightweight, and blockchain-based security approaches shows that the proposed framework achieves a 96.8% attack-detection rate, 98.7% authentication success, a 2.3% false-positive rate, and 98.2% packet delivery. It also reduces average end-to-end latency to 94 ms, control-message overhead to 11.2% and energy consumption to 3.12 J per node per day. The results indicate that coordinated cross-layer protection can improve cybersecurity, communication reliability, and energy efficiency without imposing excessive computational cost, making the framework suitable for scalable smart-grid, microgrid, and smart-building deployments.
Keywords: Secure IoT Communication; Smart Energy Systems; Internet of Things (IoT); Machine Learning; Cybersecurity; Energy Management
DOI: 10.24874/PES08.03.005
Recieved: 21.05.2026 Revised: 07.07.2026 Accepted: 04.08.2026
UDC:
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