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Selection of security system design via games of imperfect information and multi-objective genetic algorithm

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  • Lins, Isis Didier
  • Rêgo, Leandro Chaves
  • Moura, Márcio das Chagas
  • Droguett, Enrique López

Abstract

This work analyzes the strategic interaction between a defender and an intelligent attacker by means of a game and reliability framework involving a multi-objective approach and imperfect information so as to support decision-makers in choosing efficiently designed security systems. A multi-objective genetic algorithm is used to determine the optimal security system's configurations representing the tradeoff between the probability of a successful defense and the acquisition and operational costs. Games with imperfect information are considered, in which the attacker has limited knowledge about the actual security system. The types of security alternatives are readily observable, but the number of redundancies actually implemented in each security subsystem is not known. The proposed methodology is applied to an illustrative example considering power transmission lines in the Northeast of Brazil, which are often targets for attackers who aims at selling the aluminum conductors. The empirical results show that the framework succeeds in handling this sort of strategic interaction.

Suggested Citation

  • Lins, Isis Didier & Rêgo, Leandro Chaves & Moura, Márcio das Chagas & Droguett, Enrique López, 2013. "Selection of security system design via games of imperfect information and multi-objective genetic algorithm," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 59-66.
    • Handle: RePEc:eee:reensy:v:112:y:2013:i:c:p:59-66
    DOI: 10.1016/j.ress.2012.11.021
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    References listed on IDEAS

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    Cited by:

    1. Song, Cen & Zhuang, Jun, 2017. "N-stage security screening strategies in the face of strategic applicants," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 292-301.
    2. Hunt, Kyle & Zhuang, Jun, 2024. "A review of attacker-defender games: Current state and paths forward," European Journal of Operational Research, Elsevier, vol. 313(2), pages 401-417.
    3. Mo, Huadong & Xie, Min & Levitin, Gregory, 2015. "Optimal resource distribution between protection and redundancy considering the time and uncertainties of attacks," European Journal of Operational Research, Elsevier, vol. 243(1), pages 200-210.

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