A Controller Switching Mechanism for Resilient Wireless Sensor–Actuator Networks

Cho, Byeong-Moon; Kim, Sangjun; Kim, Kyoung-Dae; Park, Kyung‐Joon

doi:10.3390/app12041841

Cited by 3 publications

(3 citation statements)

References 36 publications

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“…The AP handover algorithm can also ensure the stability of the DC motor control system. In [26], an AP handover algorithm is activated when a certain attack is detected. However, the DC motor control system temporally becomes an open-loop control state due to the inherent network overhead during AP handover.…”

Section: ) When the Attack-induced Delay Is In The Feasible Stability...mentioning

confidence: 99%

“…Therefore, the AP handover algorithm provides poorer recovery performance than the controller gain tuning algorithm. To compare the recovery performance of the proposed controller gain tuning algorithm and the AP handover algorithm in [26], we conduct experiments 100 times for each algorithm.…”

Section: ) When the Attack-induced Delay Is In The Feasible Stability...mentioning

confidence: 99%

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Real-Time Controller Reconfiguration for Delay-Resilient Cyber-Physical Systems

Kim¹,

Lee

Park

2022

IEEE Access

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Networks on the cyber-physical systems (CPSs) configure feedback control loops between physical systems in the real world and control software in the cyber world. Malicious behaviors on the networks can increase network delays by exhausting limited network resources and security vulnerabilities to destabilize CPSs, which are entitled the network delay attack. In this paper, we focus on the problem of how to guarantee the stability of CPS under the network delay attack. We propose a real-time controller reconfiguration to ensure the resiliency of the physical systems against the network delay attack. Our controller reconfiguration consists of two algorithms: controller gain tuning and access point (AP) handover, which give a delay tolerance and an attack avoidance, respectively. Depending on the network delays, the computing system adopts one of these two algorithms and mitigates the physical impacts of the network delay attack. We validate that the proposed controller reconfiguration can ensure the resiliency of CPS against the network delay attack by implementing a testbed with wireless networks.INDEX TERMS Attack-resilient CPS, controller reconfiguration, cyber-physical systems, flooding attack.

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Section: ) When the Attack-induced Delay Is In The Feasible Stability...mentioning

confidence: 99%

Section: ) When the Attack-induced Delay Is In The Feasible Stability...mentioning

confidence: 99%

Real-Time Controller Reconfiguration for Delay-Resilient Cyber-Physical Systems

Kim¹,

Lee

Park

2022

IEEE Access

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“…Based on a very similar technique, the authors in [16] proposed a redundant resilient controller strategy for wireless-sensor-actuator networks that switch the controller upon failure. Further, the authors devised a protocol that would limit the delay upon switching the controllers.…”

Section: Related Workmentioning

confidence: 99%

N-Versions-Based Resilient Traffic Control Systems

et al. 2022

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Increasing the resilience of traffic control systems is a priority for many important cities worldwide. This is due to the ever-increasing problems leading to different failures in such systems. We are witnessing the intensive introduction of new technologies that automatically manage traffic but are exposed to different kinds of attacks. There are also unpredictable increases in climatic changes and the number of cars in many cities. These factors will surely enhance the failure risks of such systems and consequently increase the damage caused by traffic jams and road accidents. In this paper, we introduce a resilient traffic control system that consists of three levels: sensor control, display, and light control. Each level has three (or more) versions and a dynamic voter. Hence, the introduced system is based on diversity and redundancy (replication), called N-versions. We propose two techniques for the introduced resilient traffic control system. The first technique uses N-versions and dynamic voters to vote between the outcomes in each level. The second technique uses N-versions, dynamic voters, and acceptance testing units. The overhead in the second technique is evidently greater than that of the first technique, but its resilience is better. A fine analytical study is conducted and shows that the first technique requires only three versions to reach the optimal results, bounded by 1/15 probability of having a faulty system. The second technique leads to better results, which can determine small probabilities.

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Challenges and recent advances in the design of real-time wireless Cyber-Physical Systems

Jacob

2022

BenchCouncil Transactions on Benchmarks, Standards and Evaluati

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A Controller Switching Mechanism for Resilient Wireless Sensor–Actuator Networks

Cited by 3 publications

References 36 publications

Real-Time Controller Reconfiguration for Delay-Resilient Cyber-Physical Systems

Real-Time Controller Reconfiguration for Delay-Resilient Cyber-Physical Systems

N-Versions-Based Resilient Traffic Control Systems

Challenges and recent advances in the design of real-time wireless Cyber-Physical Systems

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