Discrete Control of Response for Cybersecurity in Industrial Control

Delaval, Gwenaël; Hore, Ayan; Mocanu, Stéphane; Muller, Lucie; Rutten, Éric

doi:10.1016/j.ifacol.2020.12.2295

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…To simplify equation ( 14), we assume that the dependence π (C) has an exponential character: π (C) = exp (−ξ C), where the coefficient ξ > 0 characterizes the effect of investing in cybersecurity of RIS several resources equal to C. Let us refine expression (14), taking into account the just presented interpretation of the function π (C):…”

Section: B Mathematical Model Of the Studied Processmentioning

confidence: 99%

“…When formalizing such models, only the failure is taken into account without analyzing the causes of its occurrence and possible consequences. Models [14]- [17] focused on the description of the second performance indicator. It is assumed that a specific distribution law (most often Poisson's) with a continuous or discrete intensity function describes the stochastic parameter, which characterizes the number of time failures.…”

Section: Introductionmentioning

confidence: 99%

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Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics

2022

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The manuscript presents a mathematical apparatus for modeling the process of operation of the information system in the conditions of aggressive cyberspace, for which the corresponding parameter is provided. The highlight is that the simulation is carried out in the parametric space of reliability indicators, functional safety indicators, and economic indicators. The generalizing parameter in the mathematical apparatus is the coefficient of efficiency of operation of the studied system. It considers the accumulated parameter of efficiency of functioning of the studied system, the accompanying risk of its operation, and the number of resources invested in cybersecurity measures at its design stage. The connection of this coefficient with the probability of the information system transition to a non-functional state due to the realization of negative impact despite the resistance to cyber immune reaction is analytically described. The mathematical apparatus is developed to consider the errors of the first and second kind in identifying the negative impact on the information system. The search for the extreme value of the coefficient of the information system's efficiency from the number of resources invested in its cybersecurity measures is described considering the characteristic parameters of cyberspace in which the studied system is operated. The functionality of the created mathematical apparatus is demonstrated in the example of a study of a real information system of the Situational Center of the Department of Information Technologies of the Vinnytsia City Council (Ukraine). The results obtained showed that the amount of funds invested in cybersecurity at the design stage of the studied information system is sufficient for its operation in cyberspace, typical for the region. At the same time, the growth dynamics of the accumulated operational efficiency characteristics outpaces the growth dynamics of the characteristics of the risk of studied information system operation. The simulation results coincide entirely with the empirical experience of the studied system operation, which allows us to recognize the created mathematical apparatus as adequate. The simulation showed that when the value of the probability of incorrect identification of the negative impact level intersects the value of ≈0.007, the studied system operational efficiency coefficient begins to decline rapidly. It indicates that the amount of resources invested in cybersecurity of the studied information system is exhausted.

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Section: B Mathematical Model Of the Studied Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics

2022

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“…By taking a series of measures to restore the system to the average business state, the system is installed and reinforced in strict accordance with the initialization security policy of the system Technology is not omnipoten, therefore the best countermeasures are determined on a basis of the analysis of the attack types. In particular, depending on the nature of the attack, on the current state of the system, and the available protection actions, a decision problem needs to be solved in the feedback loop [48]. This model draws upon the literature in information security, incident response, theory of planned behavior, and security awareness to expand and improve overall industrial organization cyber security performance.…”

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confidence: 99%

Research on the Effectiveness of Cyber Security Awareness in ICS Risk Assessment Frameworks

2022

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Assessing security awareness among users is essential for protecting industrial control systems (ICSs) from social engineering attacks. This research aimed to determine the effect of cyber security awareness on the emergency response to cyber security incidents in the ICS. Additionally, this study has adopted a variety of cyber security emergency response process measures and frameworks and comprehensively proposes a new organizational model of cyber security incident response. The corresponding measures are evaluated based on the MP2DR2 risk control matrix model to assess their practical value in the evaluation stage. This study found that after adding security awareness measures to response control measures, the influential value ranking of other control measures changed. The practical value of security awareness control measures was given a higher priority than that of other control measures. The research results highlight the importance of cyber security awareness and aim to inspire ICSs to place a higher priority on staff cyber security awareness in relation to cyber security incidents, which can effectively prevent the occurrence of cyber security incidents and make the field of industrial control application agency respond to incidents faster to restore the regular progress of all works.

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Discrete control algorithm of simulation load division based on complex network flow

Hua

2021

Wireless Netw

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Discrete Control of Response for Cybersecurity in Industrial Control

Cited by 6 publications

References 11 publications

Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics

Model of Information System Communication in Aggressive Cyberspace: Reliability, Functional Safety, Economics

Research on the Effectiveness of Cyber Security Awareness in ICS Risk Assessment Frameworks

Discrete control algorithm of simulation load division based on complex network flow

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