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Is it wise to leave some false targets unprotected?

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  • Levitin, Gregory
  • Hausken, Kjell

Abstract

The paper considers a system consisting of genuine elements and false targets that cannot be distinguished by the attacker's observation. The false targets can be destroyed with much less effort than the genuine elements. To enhance the attack efficiency the attacker uses a double attack strategy in which it tries first to eliminate with optimal effort as many false targets as possible in the first attack and then distributes its entire remaining resource among all surviving targets in the second attack. It is assumed that the defender can protect some of the false targets whereas the attacker attacks all targets it can observe. In both attacks the attacking resource is distributed evenly among the attacked targets. The model for evaluating the system vulnerability in the double attack is suggested for parallel and series systems. This model considers the cases of perfect and imperfect detection of the targets destroyed in the first attack. The defense strategy is analyzed based on a two period minmax game. The methodology of optimal attack and defense strategies analysis is demonstrated. In is shown that under certain conditions (high contest intensity, scarce defense resource, low FT cost, high probability of wrong identification of destroyed targets by the attacker) the defender benefits from protecting a subset of the false targets. An algorithm for determining the optimal number of false targets that should be protected is suggested.

Suggested Citation

  • Levitin, Gregory & Hausken, Kjell, 2013. "Is it wise to leave some false targets unprotected?," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 176-186.
  • Handle: RePEc:eee:reensy:v:112:y:2013:i:c:p:176-186
    DOI: 10.1016/j.ress.2012.11.015
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    References listed on IDEAS

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    1. Gao, Kaiye & Yan, Xiangbin & Liu, Xiang-dong & Peng, Rui, 2019. "Object defence of a single object with preventive strike of random effect," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 209-219.
    2. Zhang, Xiaoxiong & Ye, Yanqing & Tan, Yuejin, 2020. "How to protect a genuine target against an attacker trying to detect false targets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    3. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Optimal early warning defense of N-version programming service against co-resident attacks in cloud system," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    4. Kjell Hausken, 2014. "Choosing what to protect when attacker resources and asset valuations are uncertain," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(3), pages 23-44.
    5. Ramirez-Marquez, José Emmanuel & Li, Qing, 2018. "Locating and protecting facilities from intentional attacks using secrecyAuthor-Name: Zhang, Chi," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 51-62.
    6. Olive Emil Wetter & Valentino Wüthrich, 2015. "“What is dear to you?” Survey of beliefs regarding protection of critical infrastructure against terrorism," Defense & Security Analysis, Taylor & Francis Journals, vol. 31(3), pages 185-198, September.
    7. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Co-residence based data theft game in cloud system with virtual machine replication and cancellation," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2021. "Minimization of Expected User Losses Considering Co-resident Attacks in Cloud System with Task Replication and Cancellation," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    9. Xing, Liudong & Levitin, Gregory, 2017. "Balancing theft and corruption threats by data partition in cloud system with independent server protection," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 248-254.
    10. Chen, Die & Xu, Maochao & Shi, Weidong, 2018. "Defending a cyber system with early warning mechanism," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 224-234.
    11. Wu, Di & Yan, Xiangbin & Peng, Rui & Wu, Shaomin, 2020. "Risk-attitude-based defense strategy considering proactive strike, preventive strike and imperfect false targets," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    12. Peng, Rui & Xiao, Hui & Guo, Jianjun & Lin, Chen, 2020. "Defending a parallel system against a strategic attacker with redundancy, protection and disinformation," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    13. Wu, Di & Xiao, Hui & Peng, Rui, 2018. "Object defense with preventive strike and false targets," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 76-80.
    14. Zhang, Xiaoxiong & Ding, Song & Ge, Bingfeng & Xia, Boyuan & Pedrycz, Witold, 2021. "Resource allocation among multiple targets for a defender-attacker game with false targets consideration," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    15. Gao, Xing & Zhong, Weijun & Mei, Shue, 2013. "A game-theory approach to configuration of detection software with decision errors," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 35-43.

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