Cybersecurity Framework for IoT-Integrated Electric Power Information Systems

Abstract

The integration of Internet of Things (IoT) devices in electric power information systems has introduced unprecedented cybersecurity challenges. This study aims to develop and evaluate a comprehensive cybersecurity framework tailored for IoT-integrated power grids, addressing the unique vulnerabilities and complexities of these critical systems. A multi-layered security approach was designed, incorporating device authentication, encrypted communication, and machine learning-based anomaly detection. The framework was implemented in a simulated environment mimicking a regional power grid with up to 10,000 IoT devices. Extensive testing included penetration attempts, scalability assessments, and compliance evaluations against industry standards. The framework demonstrated high effectiveness, with threat detection rates exceeding 96% and prevention rates above 95% across various attack scenarios. It maintained sub-linear CPU utilization growth as the number of devices increased from 100 to 10,000, with only a 2.3% increase in network latency at the 1,000-device scale. The system showed strong resilience, maintaining over 98% availability during attacks, and achieved 94-98% compliance with key industry standards. The proposed cybersecurity framework offers a robust, scalable solution for securing IoT-integrated power systems. 

Article history: Received (October 11, 2024); Revised (December 24, 2024); Accepted (December 26, 2024); Published online (March 3, 2025)