Dynamic Defense Resource Allocation for Minimizing Unsupplied Demand in Cyber-Physical Systems Against Uncertain Attacks

Mo, Huadong; Sansavini, Giovanni

doi:10.1109/tr.2017.2759328

Cited by 24 publications

(14 citation statements)

References 62 publications

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“…As lack of global arbitrator, the subsystems are easy to imbalance in the resources (i.e., the phenomenon of hot spot and energy hole in wireless sensor network (WSN) [14]). Moreover, the subsystems tend to make self-centered decisions for some reason, i.e., reserving energy and resources for some purposes [15], occupying more resources [16], which undermines the cooperation. What is worse, subsystems may be misled by the inconsistent information and make conflict decisions, and even harms each other's interests [17].…”

Section: A Shortages Of Current Cps Approachesmentioning

confidence: 99%

Improving the Dependability of Self-Adaptive Cyber Physical System With Formal Compositional Contract

et al. 2020

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To adapt to the uncertain environment smartly and timely, cyber physical systems (CPSs) have to interact with the physical world in a decentralized but rigorous, organized way. Guaranteeing the timing reliability is key to achieve consensus on the order of distributed events, as well as dependable cooperative decision processing. Based on our hierarchically decentralized compositional self-adaptive framework, we propose a formal compositional reliability-contract-based solution to guarantee the timing reliability of event observation and decision processing in a large-scale, geographically distributed CPS. As the prophetic decision may not fit the local situation well because of the uncertainties, we propose a gradual contract optimization solution to refine the dependability, timeliness, and energy consumption. Following the seven proposed composition schemes, we employ the nondominated sorting genetic algorithm II (NSGA-II) algorithm to optimize arrangement of decision. Moreover, a topology-aware time reserving solution is applied to improve the resilience of processing time and to tolerance timing failures. Both simulation results and real-world testing are introduced to evaluate the efficacy of our proposal. We believe that the formal compositional contract will be a competitive CPS solution to analyze requirements and optimize the self-adaptation decision at runtime.

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Section: A Shortages Of Current Cps Approachesmentioning

confidence: 99%

Improving the Dependability of Self-Adaptive Cyber Physical System With Formal Compositional Contract

et al. 2020

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“…This is particularly true for cyber attacks, which are the focus of this work, since the majority of game-theoretic models assume that the defender moves first (e.g. designing a system, as in this work), and that the attacker moves after [9][10][11][12][13]. However, this means that an attacker can maximize the objective (of his/her malevolent act) and cyber attacks might be disguised from random failures, rendering the recovery difficult [14,15].…”

Section: Introductionmentioning

confidence: 99%

Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks

Wang

Maio

Zio

2020

Reliability Engineering & System Safety

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In this work, we consider diagnostics of cyber attacks in Cyber-Physical Systems (CPSs), based on data analytics. For the first time to authors knowledge, the performance of such diagnosis is quantified considering the possible failure of the human operator cognitive process in interpreting and understanding the diagnosis support tool outcomes. A Non-Parametric CUmulative SUM (NP-CUSUM) approach is used for datadriven diagnostic, and the cognitive process of the human operator who interprets its outputs is modelled by a Bayesian Belief Network (BBN). The overall framework is applied on the digital controller of the Advanced Lead-cooled Fast Reactor European Demonstrator (ALFRED).

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“…The attacks exploiting the vulnerabilities of these CPSs usually have significant impacts and serious consequences. For example, the disturbance of some vulnerable components can potentially trigger subsystem collapse, or even failure of the entire system [4,5]. Substation auto systems (SASs) are basic and important components in power CPSs.…”

Section: Introductionmentioning

confidence: 99%

Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS

Fan

Zhang

et al. 2019

Sustainability

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In the increasingly complex cyber-environment, appropriate sustainable maintenance of substation auto systems (SASs) can lead to many positive effects on power cyber-physical systems (CPSs). Evaluating the cybersecurity risk of power CPSs is the first step in creating sustainable maintenance plans for SASs. In this paper, a mathematical framework for evaluating the cybersecurity risk of a power CPS is proposed considering both the probability of successful cyberattacks on SASs and their consequences for the power system. First, the cyberattacks and their countermeasures are introduced, and the probability of successful cyber-intruding on SASs is modeled from the defender’s perspective. Then, a modified hypergraph model of the SAS’s logical structure is established to quantitatively analyze the impacts of cyberattacks on an SAS. The impacts will ultimately act on the physical systems of the power CPS. The modified hypergraph model can describe more information than a graph or hypergraph model and potentially can analyze complex networks like CPSs. Finally, the feasibility and effectiveness of the proposed evaluation method is verified by the IEEE 14-bus system, and the test results demonstrate that this proposed method is more reasonable to assess the cybersecurity risk of power CPS compared with some other models.

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Dynamic Defense Resource Allocation for Minimizing Unsupplied Demand in Cyber-Physical Systems Against Uncertain Attacks

Cited by 24 publications

References 62 publications

Improving the Dependability of Self-Adaptive Cyber Physical System With Formal Compositional Contract

Improving the Dependability of Self-Adaptive Cyber Physical System With Formal Compositional Contract

Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks

Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS

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