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Importance of protections against intentional attacks

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  • Levitin, Gregory
  • Ben-Haim, Hanoch

Abstract

The paper presents a generalized model of damage caused to a complex multi-state series-parallel system by intentional attack. The model takes into account the separation and protection of system elements. Protection importance indices are suggested that can be used for tracing bottlenecks in defense strategy and in identifying the most important protections. An algorithm for evaluating these indices is presented that uses a universal generating function technique for obtaining the system performance distribution. Illustrative example is presented.

Suggested Citation

  • Levitin, Gregory & Ben-Haim, Hanoch, 2008. "Importance of protections against intentional attacks," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 639-646.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:4:p:639-646
    DOI: 10.1016/j.ress.2007.03.016
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    References listed on IDEAS

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    1. Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    2. Gregory Levitin, 2005. "The Universal Generating Function in Reliability Analysis and Optimization," Springer Series in Reliability Engineering, Springer, number 978-1-84628-245-4, December.
    3. Korczak, Edward & Levitin, Gregory & Haim, Hanoch Ben, 2005. "Survivability of series–parallel systems with multilevel protection," Reliability Engineering and System Safety, Elsevier, vol. 90(1), pages 45-54.
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    Citations

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    Cited by:

    1. D E Salazar A & C M Rocco S & E Zio, 2008. "Optimal protection of complex networks exposed to a terrorist hazard: A multi-objective evolutionary approach," Journal of Risk and Reliability, , vol. 222(3), pages 327-335, September.
    2. Fang, Yiping & Sansavini, Giovanni, 2017. "Optimizing power system investments and resilience against attacks," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 161-173.
    3. Dui, Hongyan & Si, Shubin & Wu, Shaomin & Yam, Richard C.M., 2017. "An importance measure for multistate systems with external factors," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 49-57.
    4. Chen, Rentong & Zhang, Chao & Wang, Shaoping & Zio, Enrico & Dui, Hongyan & Zhang, Yadong, 2023. "Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Dui, Hongyan & Wei, Xuan & Xing, Liudong, 2023. "A new multi-criteria importance measure and its applications to risk reduction and safety enhancement," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    6. Yuan, Wei & Zhao, Long & Zeng, Bo, 2014. "Optimal power grid protection through a defender–attacker–defender model," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 83-89.
    7. Chen, Liwei & Cheng, Chunchun & Dui, Hongyan & Xing, Liudong, 2022. "Maintenance cost-based importance analysis under different maintenance strategies," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Hongyan Dui & Zhe Xu & Liwei Chen & Liudong Xing & Bin Liu, 2022. "Data-Driven Maintenance Priority and Resilience Evaluation of Performance Loss in a Main Coolant System," Mathematics, MDPI, vol. 10(4), pages 1-18, February.
    9. 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.
    10. Fabrizio Baiardi & Daniele Sgandurra, 2013. "Assessing ICT risk through a Monte Carlo method," Environment Systems and Decisions, Springer, vol. 33(4), pages 486-499, December.
    11. Guikema, Seth D. & Aven, Terje, 2010. "Assessing risk from intelligent attacks: A perspective on approaches," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 478-483.

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