Detecting Cyber Attacks on Renewable Distributed Generation for Future Smart Electric Meters to Prevent Electricity Theft

Author(s)	K VIJAY KUMAR, G MAHESH CHALLARI, PRIYANGA CHANDRU
Country	India
Abstract	Electricity theft represents a pressing problem that has brought enormous fiscal losses to electric mileage companies worldwide. In the United States alone, $ 6 billion of electricity is stolen annually. Traditionally, electricity theft is committed in the consumption sphere via physical attacks that include line tapping or cadence tampering. With the advanced metering structure (AMI), smart measures are installed at the guests’ demesne and regularly report the guests’ consumption for monitoring and billing purposes. In this environment, vicious guests can launch cyber-attacks on smart measures to manipulate the readings in a way that reduces their electricity bill. Second, the smart grid paradigm enables guests to install renewable-grounded distributed generation (DG) units at their demesne to induce energy and send it back to the grid driver and hence make a profit.
Keywords	CNN, DNN, Random Forest Algorithm, Max polling.
Field	Engineering
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-15
Cite This	Detecting Cyber Attacks on Renewable Distributed Generation for Future Smart Electric Meters to Prevent Electricity Theft - K VIJAY KUMAR, G MAHESH CHALLARI, PRIYANGA CHANDRU - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14854
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.14854
Short DOI	https://doi.org/gtmzs9

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