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Published Subscription Original Research
Enhancing Smart Grid Security: Machine Learning Approaches for Detecting AnomaliesBy Aadish Jain, Abhinav Kumar, Gaurav Joshi, Surya Pratap Singh, Dheeraj Verma, Praveen Kumar Agrawal
Abstract: The integration of Information and Communication Technology (ICT) with traditional electric grids has led to the development of smart grids. However, this integration has also increased the risk of anomalies, such as cyber-attacks, metering fraud, electricity theft etc. False Data Injection Attacks are a class of cyber-attacks against power grid monitoring systems, where adversaries can inject false data to manipulate the grid’s operation. Metering frauds pertain to malicious customers com- …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 10–19 Read article →