Stochastic detection against deception attacks in CPS: Performance evaluation and game-theoretic analysis

Li, Yuzhe; Yang, Yake; Chai, Tianyou; Chen, Tongwen

doi:10.1016/j.automatica.2022.110461

Cited by 26 publications

(6 citation statements)

References 23 publications

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“…With the increasing number of networked control scenarios, secure control under network attacks is already a hot research topic. In general, network attacks are usually divided into DoS attack [16], [17], deceive attack [18], [19], replay attack [20], malicious attack [21], and so on. The hybrid attack model were considered in [22], [23] .…”

Section: Introductionmentioning

confidence: 99%

Observer-Based Distributed Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

et al. 2023

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This paper addresses the distributed secure consensus problem for linear multi-agent systems (MAS) with unmeasurable states and Denial-of-Service (DoS) attacks. The observer is designed to be used in estimating unmeasurable states of agents. Then, an observer-based distributed event-triggered control protocol is proposed to save network resources. By using the piecewise Lyapunov function approach, several sufficient conditions for ensuring secure consensus are obtained. Further, a rigorous theoretical analysis shows that the given event-triggering scheme exhibits no Zeno behavior. Finally, the effectiveness of the proposed method is verified by numerical simulation.

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Section: Introductionmentioning

confidence: 99%

Observer-Based Distributed Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

et al. 2023

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“…Optimization relaxation (OR) and brute force search (BFS) are two mainstream techniques to realize the SSE for CPSs with FDI. In addition, data‐driven 15 and game‐theoretic‐based 16 approaches are equally interesting and effective in resisting attacks. OR methods such as

{L}_1/{L}_r

decoders, 17 projected gradient descent algorithm, 18 satisfiability modular solver, 19 a novel

{l}_1

‐minimization based on QR decomposition 20 and optimal graph‐search method 21 aim to obtain state estimation values in polynomial time.…”

Section: Introductionmentioning

confidence: 99%

Finite time secure state estimation for linear cyber‐physical systems with actuator and sensor attacks

Liu

Ren

Fang

et al. 2023

Intl J Robust & Nonlinear

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This manuscript studies the problem of secure state estimation (SSE) for a class of linear discrete cyber-physical systems (CPSs) considered with output disturbances, actuator, and sensor attacks. The disturbances and attacks considered are unbounded. A finite time SSE (FTSSE) method is designed to realize SSE for CPSs in a predetermined finite time. First, a finite time observer is designed to implement the FTSSE for CPSs with actuator attacks and output disturbances. After that, the FTSSE method for CPSs with simultaneous sensor attacks is proposed by extending the designed finite time observer. The necessary conditions for the existence of the proposed FTSSE method are given, and its effectiveness is analyzed theoretically. In addition, the simultaneous estimation of disturbance and attack can be achieved by the designed estimator when the system satisfies some given conditions. Finally, the effectiveness of the designed method is verified by a simulation experiment.

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“…Game theory offers an efficient framework for analyzing the dynamic competition between attackers and defenders. Thus, it stands as a pivotal tool in addressing security challenges within CPSs 11–13 …”

Section: Introductionmentioning

confidence: 99%

“…Thus, it stands as a pivotal tool in addressing security challenges within CPSs. [11][12][13] The incorporation of game theory into the realm of CPSs security has yielded lots of noteworthy accomplishments. Notably, in addressing the security challenges associated with remote state estimation and controller design, Wu et al 10 probed the security control problem of CPSs by using zero-sum games within the context of false data injection attacks.…”

mentioning

confidence: 99%

Game learning‐based system identification with binary‐valued observations under DoS attacks

Hu,

Jia,

Zhang

et al. 2023

Adaptive Control & Signal

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SummaryThe rapid progress in computer, communication, and sensor technology has led to the proliferation of cyber‐physical systems (CPSs) which have become integral to various sectors. However, their heavy dependence on open communication networks makes them vulnerable to network‐based attacks. To tackle these security concerns, this paper delves into game learning‐based system identification with binary‐valued observations in the presence of Denial‐of‐Service (DoS) attacks. We first formulate a game model to capture interactions between the attacker and defender. Focusing on piecewise constant DoS attacks, we then devise a defense strategy grounded in game learning principles. This strategy paves the way for crafting estimation algorithms for both the attack strategy and system parameters, with their performance scrutinized in specific stages. Through meticulous analysis and comprehensive numerical simulations, we have observed that the game learning approach outperforms the randomly selected defense strategy in terms of parameter estimation. This provides a novel and reliable approach to address security challenges within CPSs.

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Stochastic detection against deception attacks in CPS: Performance evaluation and game-theoretic analysis

Cited by 26 publications

References 23 publications

Observer-Based Distributed Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

Observer-Based Distributed Event-Triggered Secure Consensus of Multi-Agent System With DoS Attack

Finite time secure state estimation for linear cyber‐physical systems with actuator and sensor attacks

Game learning‐based system identification with binary‐valued observations under DoS attacks

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