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Big Data-Driven Detection of False Data Injection Attacks in Smart Meters
2021
IEEE Access
Today's energy resources are closer to consumers thanks to sustainable energy and advanced metering infrastructure (AMI), such as smart meters. Smart meters are controlled and manipulated through various interfaces in smart grids, such as cyber, physical and social interfaces. Recently, a large number of non-technical losses (NTLs) have been reported in smart grids worldwide. These are partially caused by false data injections (FDIs). Therefore, ensuring a secure communication medium and
doi:10.1109/access.2021.3122009
fatcat:amu73zeutfflxnragfzxexkutq