Results 31 to 40 of about 67,029 (331)
Frontiers in Energy Research, 2022 The stable and reliable operation of microgrids requires the immediate communication and accurate measuring data of cyber systems. The cyber security of smart grids consists of detection and mitigation, where the latter mainly refers to resisting the ...
Ge Cao +5 more
doaj +1 more source
Security Against False Data-Injection Attack in Cyber-Physical Systems [PDF]
IEEE Transactions on Control of Network Systems, 2020 In this paper, secure, remote estimation of a linear Gaussian process via observations at multiple sensors is considered. Such a framework is relevant to many cyber-physical systems and internet-of-things applications. Sensors make sequential measurements that are shared with a fusion center; the fusion center applies a certain filtering algorithm to ...
Arpan Chattopadhyay, Urbashi Mitra
openaire +2 more sources
Game-theoretic cybersecurity analysis for false data injection attack on networked microgrids
IET Cyber-Physical Systems, 2019 In well-managed coordinated networked microgrids (MGs) besides electricity interchange between MGs, global optimisation is fulfilled. Here the authors studied a networked MG architecture, in which the control centre of microgrids communicates with a ...
Nima Nikmehr +2 more
doaj +1 more source
Parameter-Free False Data Injection Attack Model on Power System’s Automatic Generation Control
IEEE Access, 2023 Automatic generation control (AGC) plays a crucial role in frequency control and economic dispatch of electric power systems. However, AGC systems, relying heavily on frequency and tie-line power measurements, are vulnerable to cyber-attacks.
Mingqiu Du, Xiaozhe Wang, Marthe Kassouf
doaj +1 more source
Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise
, 2016 In this paper, we consider the problems of state estimation and false data injection detection in smart grid when the measurements are corrupted by colored Gaussian noise.
He, Haibo +3 more
core +1 more source
, 2016 The false data injection (FDI) attack cannot be detected by the traditional anomaly detection techniques used in the energy system state estimators. In this paper, we demonstrate how FDI attacks can be constructed blindly, i.e., without system knowledge,
Anwar, Adnan +2 more
core +1 more source
System-state-free false data injection attack for nonlinear state estimation in smart grid [PDF]
, 2015 published_or_final_versio
Hui, LCK, Wang, J, Yiu, HSM
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Data-driven control against false data injection attacks
AutomaticaThe rise of cyber-security concerns has brought significant attention to the analysis and design of cyber-physical systems (CPSs). Among the various types of cyberattacks, denial-of-service (DoS) attacks and false data injection (FDI) attacks can be easily launched and have become prominent threats.
Liu, Wenjie +5 more
openaire +3 more sources
Optimal Attack against Cyber-Physical Control Systems with Reactive Attack Mitigation
, 2017 This paper studies the performance and resilience of a cyber-physical control system (CPCS) with attack detection and reactive attack mitigation. It addresses the problem of deriving an optimal sequence of false data injection attacks that maximizes the ...
Lakshminarayana, Subhash +3 more
core +1 more source
PMU Placement in Electric Transmission Networks for Reliable State Estimation against False Data Injection Attacks [PDF]
, 2017 Currently the false data injection (FDI) attack bring direct challenges in synchronized phase measurement unit (PMU) based network state estimation in wide-area measurement system (WAMS), resulting in degraded system reliability and power supply security.
Hao, W +5 more
core +1 more source