… the problem of electricity theft attacks on smart meters when … energy into the grid to get
more profits from utility companies. These attacks can be applied by accessing the smart meters …

… We then provide an overview of benchmark datasets used in this domain to … detection of
energy theft in SG. They are effective against DoS, FDI attacks, jamming, and hybrid attacks…

… attacks. Although the provided intrusion detection systems effectively detect attacks on the
smart grids… This section reviews and analyzes relevant works on attack detection in smart grids…

… detection and mitigation. This is followed by an exploratory survey of several areas where DL
emerged as a game-changer: fraud detection … image processing, power systems research …

… ME Eddin et al., “Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid
Generation Domain,” IEEE Open Journal of the Industrial Electronics Society, vol. 3, pp. 733–…

… at LSTM and RNN-based deep … the detection efficacy of the model for diverse electrical
thief behaviours, four composite modes are produced by merging the six frequent electricity theft …

… Abstract: Smart cities offer smart security solutions against cyber-attacks to the communities.
… Section 2 presents relevant work in the domain of Android malware detection. Section 3 …

… ,” in IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), …
“Fine-tuned RNN-based detector for electricity theft attacks in smart grid generation domain,…

… -Rub, “Fine-tuned rnn-based detector for electricity theft attacks in smart grid generation
domain,” … Abdallah, “Fine-tuned lstm-based model for efficient honeypot-based network intrusion …

… ME Eddin et al., “Fine-Tuned RNN-Based Detector for Electricity Theft Attacks in Smart Grid
Generation Domain,” IEEE Open Journal of the Industrial Electronics Society, vol. 3, pp. 733–…