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Optimal defense resource allocation in scale-free networks

Author

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  • Zhang, Xuejun
  • Xu, Guoqiang
  • Xia, Yongxiang

Abstract

The robustness research of networked systems has drawn widespread attention in the past decade, and one of the central topics is to protect the network from external attacks through allocating appropriate defense resource to different nodes. In this paper, we apply a specific particle swarm optimization (PSO) algorithm to optimize the defense resource allocation in scale-free networks. Results reveal that PSO based resource allocation shows a higher robustness than other resource allocation strategies such as uniform, degree-proportional, and betweenness-proportional allocation strategies. Furthermore, we find that assigning less resource to middle-degree nodes under small-scale attack while more resource to low-degree nodes under large-scale attack is conductive to improving the network robustness. Our work provides an insight into the optimal defense resource allocation pattern in scale-free networks and is helpful for designing a more robust network.

Suggested Citation

  • Zhang, Xuejun & Xu, Guoqiang & Xia, Yongxiang, 2018. "Optimal defense resource allocation in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2198-2204.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:2198-2204
    DOI: 10.1016/j.physa.2017.11.135
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    Citations

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    Cited by:

    1. Huang, Wencheng & Li, Linqing & Liu, Hongyi & Zhang, Rui & Xu, Minhao, 2021. "Defense resource allocation in road dangerous goods transportation network: A Self-Contained Girvan-Newman Algorithm and Mean Variance Model combined approach," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    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. Xu, Sheng & Xia, Yongxiang & Ouyang, Min, 2020. "Effect of resource allocation to the recovery of scale-free networks during cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    4. Yang, Hanlin & Pu, Cunlai & Wu, Jiexin & Wu, Yanqing & Xia, Yongxiang, 2023. "Enhancing OLSR protocol in VANETs with multi-objective particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
    5. Li, Jie & Wang, Ying & Zhong, Jilong & Sun, Yun & Guo, Zhijun & Chen, Zhiwei & Fu, Chaoqi, 2022. "Network resilience assessment and reinforcement strategy against cascading failure," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    6. Wu, Taocheng & Wu, Jiajing & You, Wei, 2018. "Optimizing robustness of complex networks with heterogeneous node functions based on the Memetic Algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 143-153.
    7. Wang, Shuliang & Sun, Jingya & Zhang, Jianhua & Dong, Qiqi & Gu, Xifeng & Chen, Chen, 2023. "Attack-Defense game analysis of critical infrastructure network based on Cournot model with fixed operating nodes," International Journal of Critical Infrastructure Protection, Elsevier, vol. 40(C).
    8. Deng, Yu-Jing & Li, Ya-Qian & Qin, Yu-Hua & Dong, Ming-Ru & Liu, Bin, 2020. "Optimal defense resource allocation for attacks in wireless sensor networks based on risk assessment model," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    9. Wu, Yipeng & Chen, Zhilong & Gong, Huadong & Feng, Qilin & Chen, Yicun & Tang, Haizhou, 2021. "Defender–attacker–operator: Tri-level game-theoretic interdiction analysis of urban water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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