Results 31 to 40 of about 24,736,965 (159)

Impact Analysis of False Data Injection Attack on Smart Grid State Estimation Under Random Packet Losses [PDF]

, 2021
Supervisory control and data acquisition (SCADA) system has been widely used in traditional power systems for operation and control. As increasingly more ICT technologies are deployed to improve the smartness of the power grid, cyber security is becoming
Minrui Fei, Meng Xia, Li, K, Xia, M, Kang Li, Dajun Du, Du, D, Fei, M   +7 more
core   +1 more source

An Efficient Privacy-enhancing Cross-silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids

, 2023
Federated Learning is a prominent machine learning paradigm which helps tackle data privacy issues by allowing clients to store their raw data locally and transfer only their local model parameters to an aggregator server to collaboratively train a ...
Yin, Xuefei
core   +1 more source

A Novel Data Analytical Approach for False Data Injection Cyber-Physical Attack Mitigation in Smart Grids

IEEE Access, 2017
False data injection cyber-physical threat is a typical integrity attack in modern smart grids. These days, data analytical methods have been employed to mitigate false data injection attacks (FDIAs), especially when large scale smart grids generate huge
Yi Wang, Mahmoud M. Amin, Jian Fu, Heba B. Moussa   +3 more
doaj   +1 more source

Impact analysis of false data injection attacks on power system static security assessment

Journal of Modern Power Systems and Clean Energy, 2016
Static security assessment (SSA) is an important procedure to ensure the static security of the power system. Researches recently show that cyber-attacks might be a critical hazard to the secure and economic operations of the power system. In this paper,
Jiongcong Chen, Gaoqi Liang, Zexiang Cai, Chunchao Hu, Yan Xu, Fengji Luo, Junhua Zhao   +6 more
doaj   +1 more source

Defense of Massive False Data Injection Attack via Sparse Attack Points Considering Uncertain Topological Changes

Journal of Modern Power Systems and Clean Energy, 2022
False data injection attack (FDIA) is a typical cyber-attack aiming at falsifying measurement data for state estimation (SE), which may incur catastrophic consequences on cyber-physical system operation.
Xiaoge Huang, Zhijun Qin, Ming Xie, Hui Liu, Liang Meng   +4 more
doaj   +1 more source

Detection of Stealthy False Data Injection Attacks in Modular Multilevel Converters

Energies, 2023
A modular multilevel converter (MMC) in a high-voltage direct-current (HVDC) transmission system consists of an electric-coupled physical system and a communication-coupled cyber system, leading to a cyber-physical system (CPS).
Xingxing Chen, Shuguang Song
doaj   +1 more source

Detection of False Data Injection Attack in Smart Grid Based on Improved UKF

, 2023
: Due to the disruption and threat of false data injection attack (FDIA) on grid cyber-physical systems (GCPS), and to address the problem that false data is difficult to be detected, a method for smart grid false data detection based on weighted least ...
Wei, Lisheng, Zhang, Qian
core   +1 more source

Detection of false data injection in point-of-sale systems during credit card transactions using tuned deep learning models and oversampling techniques [PDF]

PeerJ Computer Science
Background False data injection attack (FDIA) occurs during credit card transactions at point-of-sale systems (POS). FDI increases in POS due to free WIFI access at sales counters.
S. Jhansi Ida, K. Balasubadra
doaj   +2 more sources

False Data Injection Attack Against Cyber-Physical Systems Protected by a Watermark

, 2022
International audienceSeveral works are aiming to develop techniques allowing detecting False Data Injection Attacks, which represents one of the most harmful attacks due to its ability to damage a Cyber Physical Systems (CPS). Among these techniques the
Rivenq, Atika, Messai, Nadhir, Guibene, Khalil, Ayaida, Marwane, El Hillali, Yassin, Khoukhi, Lyes   +5 more
core   +1 more source

Detection of false data injection attacks on power systems based on measurement-eigenvalue residual similarity test

Frontiers in Energy Research, 2023
Existing False data injection attack (FDIA) detection methods based on measurement similarity testing have difficulty in distinguishing between actual power grid accidents and FDIAs.
Yihua Zhu, Yihua Zhu, Ren Liu, Ren Liu, Dongxu Chang, Dongxu Chang, Hengdao Guo, Hengdao Guo   +7 more
doaj   +1 more source