scholarly journals Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system

2017 ◽  
Vol 103 ◽  
pp. 32-41 ◽  
Author(s):  
Beibei Li ◽  
Rongxing Lu ◽  
Wei Wang ◽  
Kim-Kwang Raymond Choo
Keyword(s):  
Smart Grid ◽  
Physical System ◽  
Cyber Physical System ◽  
False Data Injection ◽  
Injection Attacks ◽  
Collaborative Detection

Research on cyber-physical system control strategy under false data injection attack perception

2022 ◽  
pp. 014233122110693
Author(s):  
Zhiwen Wang ◽  
Bin Zhang ◽  
Xiangnan Xu ◽  
Usman ◽  
Long Li
Keyword(s):  
Control Strategy ◽  
Physical System ◽  
Sufficient Conditions ◽  
Switched System ◽  
Lyapunov Methods ◽  
Control Technique ◽  
Cyber Physical System ◽  
Time Data ◽  
False Data Injection ◽  
Injection Attacks

This paper investigates the security control problem of the cyber-physical system under false data injection attacks. A model predictive switching control strategy based on attack perception is proposed to compensate for the untrusted sequence of data caused by false data injection attacks. First, the binary attack detector is applied whether the system has suffered the attack. If the attack occurs, multistep correction is carried out for the future data according to the previous time data, and the waiting period [Formula: see text] is set. The input and output sequence of the controller is reconstructed, and the system is modeled as a constant time-delay switched system. Subsequently, the Lyapunov methods and average-dwell time are combined to provide sufficient conditions for the asymptotical stability of closed-loop switched system. Finally, the simulation of the networked first-order inverted pendulum model reveals that the control technique can efficiently suppress the influence of the attacks.

scholarly journals Review of Cyber-Physical Attacks in Smart Grids: A System-Theoretic Perspective

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1153
Author(s):  
Francesco Liberati ◽  
Emanuele Garone ◽  
Alessandro Di Giorgio
Keyword(s):  
Smart Grid ◽  
State Estimation ◽  
Smart Grids ◽  
False Data Injection ◽  
Injection Attacks ◽  
The Common ◽  
Dynamical Properties ◽  
Attack Models

This paper presents a review of technical works in the field of cyber-physical attacks on the smart grid. The paper starts by discussing two reference mathematical frameworks proposed in the literature to model a smart grid under attack. Then, a review of cyber-physical attacks on the smart grid is presented, starting from works on false data injection attacks against state estimation. The aim is to present a systematic and quantitative discussion of the basic working principles of the attacks, also in terms of the inner smart grid vulnerabilities and dynamical properties exploited by the attack. The main contribution of the paper is the attempt to provide a unifying view, highlighting the fundamental aspects and the common working principles shared by the attack models, even when targeting different subsystems of the smart grid.

Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems

2020 ◽  
Author(s):  
Mohammad Ashrafuzzaman ◽  
Saikat Das ◽  
Ananth A. Jillepalli ◽  
Yacine Chakhchoukh ◽  
Frederick T. Sheldon
Keyword(s):  
Smart Grid ◽  
Control Systems ◽  
False Data Injection ◽  
Injection Attacks

scholarly journals A Deviation-Based Detection Method Against False Data Injection Attacks in Smart Grid

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 15499-15509
Author(s):  
Chao Pei ◽  
Yang Xiao ◽  
Wei Liang ◽  
Xiaojia Han
Keyword(s):  
Smart Grid ◽  
Detection Method ◽  
False Data Injection ◽  
Injection Attacks
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