… In allusion to this issue, a method to detect the fake data injection for smart grid based on
multi-layer … Detection of false data injection attack in smart grid via adaptive kalman filtering[J]. …

… to detect hidden FDI attack signal in the smart grids. The proposed method not only reduces
the … Real-time detection of false data injection attacks in smart grid: a deep learning-based …

… the huge data collection using a machine learning technique. In paper |64], authors review
the security issue associated when applying machine learning in a smart grid application. In …

… An adaptive control defense scheme of false data injection attacks in smart grids. In: Proceedings
… Detecting false data injection attacks in smart grids: A semi-supervised deep learning …

… that false data injection attack (FDIA) can evade traditional bad data detec-tion in smart grid,
… extreme learning machine (ELM) based on the intrinsic correlation between historical state …

… smart grid, such as machine learning, blockchain, quantum computing are reviewed. Machine
learning … KFRNN: An effective false data injection attack detection in smart grid based on …

… power grid attack, the False Data Injection Attack (FDIA), seriously threatens the safe operation
of smart grids. … Combined with deep learning methods, a CNN-LSTM detecting model is …

… Short-term state forecasting-aided method for detection of smart grid general false data
injection … Detecting false data injection attacks in smart grids: a semi-supervised deep learning …

… False data injection attacks against state estimation in electric … Machine learning
methods for attack detection in the smart … Firstly, based on the characteristics that smart grid …

… algorithms for false data injection attacks in smart grids[J]. IEEE Transactions on Smart
Grid,… Impact of false data injection attacks on deep learning enabled predictive analytics[R]. …