Cyber security in smart Grids: An Ai and Blockchain-Based Approach for secure and Resilient Power Systems

Smart Grids have revolutionized modern power systems by integrating advanced communication technologies, automation, Internet of Things (IoT), and Artificial Intelligence. However, this digital transformation has also introduced significant cybersecurity challenges that threaten the stability, reliability, and safety of electrical power systems. This research reviewed the major cyber threats affecting Smart Grids and analyzed existing cybersecurity solutions, including cryptography, Intrusion Detection Systems (IDS), Artificial Intelligence, Machine Learning, Blockchain, and Edge Computing. The study identified several research gaps, including limited detection of zero-day attacks, high computational overhead, privacy concerns, and scalability issues. To address these challenges, a Hybrid Artificial Intelligence and Blockchain-based Cybersecurity Framework was proposed. The framework combines AI-based attack detection, Blockchain-enabled data integrity, and Edge Computing for real-time analysis. The proposed approach aims to improve attack detection accuracy, reduce false alarms, enhance consumer privacy, and strengthen the overall resilience of Smart Grid infrastructure. In conclusion, the proposed framework represents a promising direction for future Smart Grid cybersecurity research. Further validation through simulations and real-world implementation can demonstrate its effectiveness in protecting next-generation intelligent power systems against increasingly sophisticated cyber threats.

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