Event-Triggered Control and Proactive Defense for Cyber–Physical Systems

Liu, Hao; Wang, Shaodong; Li, Yuzhe

doi:10.1109/tsmc.2022.3144337

Cited by 17 publications

(4 citation statements)

References 31 publications

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“…The suggested technique may identify intelligent cyberattacks that are knowledgeable in system parameters, models, and detection rules. In [102], a switchingbased MTD strategy was developed to detect malicious FDI attacks described by the average dwell-time feature, an ET mechanism was also applied to reduce the cost of data transmission. Even if attacks may remain stealthy when the MTD mechanism is adopted, the impacts of these stealthy attacks on the system performance can be kept to a minimum level.…”

Section: Moving Target Defense For Securing Complex Cyber-physical Ne...mentioning

confidence: 99%

A Brief Survey of Recent Advances and Methodologies for the Security Control of Complex Cyber–Physical Networks

Wan

Alsaedi

2023

Sensors

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Complex cyber–physical networks combine the prominent features of complex networks and cyber–physical systems (CPSs), and the interconnections between the cyber layer and physical layer usually pose significant impacts on its normal operation. Many vital infrastructures, such as electrical power grids, can be effectively modeled as complex cyber–physical networks. Given the growing importance of complex cyber–physical networks, the issue of their cybersecurity has become a significant concern in both industry and academic fields. This survey is focused on some recent developments and methodologies for secure control of complex cyber–physical networks. Besides the single type of cyberattack, hybrid cyberattacks are also surveyed. The examination encompasses both cyber-only hybrid attacks and coordinated cyber–physical attacks that leverage the strengths of both physical and cyber attacks. Then, special focus will be paid to proactive secure control. Reviewing existing defense strategies from topology and control perspectives aims to proactively enhance security. The topological design allows the defender to resist potential attacks in advance, while the reconstruction process can aid in reasonable and practical recovery from unavoidable attacks. In addition, the defense can adopt active switching-based control and moving target defense strategies to reduce stealthiness, increase the cost of attacks, and limit the attack impacts. Finally, conclusions are drawn and some potential research topics are suggested.

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Section: Moving Target Defense For Securing Complex Cyber-physical Ne...mentioning

confidence: 99%

A Brief Survey of Recent Advances and Methodologies for the Security Control of Complex Cyber–Physical Networks

Wan

Alsaedi

2023

Sensors

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“…On a micro level, MTD was combined with other elements such as Honey-X and decoys, thereby being conceptualized considering diversified mutation items. In addition, MTD is a potential "game-changing" security solution in special domains such as cyber-physical systems, autonomous vehicles, smart factories, and smart grids that have unprotected communication characteristics [3,[36][37][38][39][40].…”

Section: Background Of Cyber Deceptionmentioning

confidence: 99%

IoDM: A Study on a IoT-Based Organizational Deception Modeling with Adaptive General-Sum Game Competition

Seo

Kim

2022

Electronics

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Moving target defense (MTD) and decoy strategies, measures of active defense, were introduced to secure both the proactive security and reactive adaptability of internet-of-things (IoT) networks that have been explosively applied to various industries without any strong security measures and to mitigate the side effects of threats. However, the existing MTD and decoy strategies are limited to avoiding the attacker’s reconnaissance and initial intrusion attempts through simple structural mutations or inducing the attackers to a static trap based on the deceptive path and lack approaches to adaptively optimize IoT in consideration of the unique characteristic information by the domain of IoT. Game theory-based and decoy strategies are other options; however, they do not consider the dynamicity and uncertainty of the decision-making stages by the organizational agent related to the IoT domains. Therefore, in this paper, we present a type of organizational deception modeling, namely IoT-based organizational deception modeling (IoDM), which considers both the dynamic topologies and organizational business fingerprints customized in the IoT domain and operational purpose. For this model, we considered the practical scalability of the existing IoT-enabled MTD and decoy concepts and formulated the partially incomplete deceptive decision-making modeling for the cyber-attack and defense competition for IoT in real-time based on the general-sum game. According to our experimental results, the efficiency of the deceptive defense of the IoT defender could be improved by 70% on average while deriving the optimal defense cost compared to the increased defense performance. The findings of this study will improve the deception performances of MTD and decoy strategies by IoT scenarios related to various operational domains such as smart home networks, industrial networks, and medical networks. To the best of our knowledge, this study has employed social-engineering IoT knowledge and general-sum game theory for the first time.

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“…28,29 In this regard, event-triggered security control is an effective approach employed to address the security challenges posed by DoS attacks and actuator faults. 30 The methodology enables timely detection and mitigation of DoS attacks and actuator faults by responding to specific events or triggers. In Reference 29, with the presence of faults and cyber-attacks, observer-based event-triggered non-parallel distribution compensation H ∞ control scheme is introduced to address the above issues.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, due to the complexities and long‐term utilization of system components, it is inevitable to generate actuator faults 28,29 . In this regard, event‐triggered security control is an effective approach employed to address the security challenges posed by DoS attacks and actuator faults 30 . The methodology enables timely detection and mitigation of DoS attacks and actuator faults by responding to specific events or triggers.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered security control for fuzzy‐model‐based cyber‐physical systems under Denial‐of‐Service attacks and actuator faults

Tan,

Gao,

Ding

et al. 2023

Intl J Robust & Nonlinear

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This article addresses the issue of event‐triggered security control for nonlinear cyber‐physical systems, characterized by Denial‐of‐Service (DoS) attacks, time‐varying delays, and actuator faults. These complexities are captured using the Takagi–Sugeno fuzzy model. Significantly, this study focuses on DoS attacks targeting the controller‐to‐actuator channel, and subsequently introduces a model for actuator faults that considers the prolonged utilization or degradation of component parts. To optimize communication resource allocation, a model‐independent event‐triggered mechanism is proposed. Utilizing the Lyapunov–Krasovskii function approach, the objective of achieving stochastic stability is transformed into a linear matrix inequalities problem, thus deriving a set of sufficient conditions. The efficiency and validity of the proposed algorithms is demonstrated through simulation results.

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Event-Triggered Control and Proactive Defense for Cyber–Physical Systems

Cited by 17 publications

References 31 publications

A Brief Survey of Recent Advances and Methodologies for the Security Control of Complex Cyber–Physical Networks

A Brief Survey of Recent Advances and Methodologies for the Security Control of Complex Cyber–Physical Networks

IoDM: A Study on a IoT-Based Organizational Deception Modeling with Adaptive General-Sum Game Competition

Event‐triggered security control for fuzzy‐model‐based cyber‐physical systems under Denial‐of‐Service attacks and actuator faults

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