IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v615y2023ics037843712300153x.html
   My bibliography  Save this article

Analysis of cascading failures caused by mobile overload attacks in scale-free networks

Author

Listed:
  • Yin, Rongrong
  • Zhang, Kai
  • Ma, Xuyao
  • Wang, Yumeng
  • Li, Linhui

Abstract

With the rapid network development, static-mobile networks have recently attracted much attention. To solve the problem of cascading failures in the static-mobile network, a cascading failures model is proposed based on mobile overload attacks. In this model, we use a Gaussian Markov model to generate the trajectories of the mobile nodes and define their load using the adjustable parameter β. Cascading failures are caused by mobile nodes attacking static nodes. Based on this triggering mechanism, we develop three different attack modes (i.e., high-degree overload attacks, low-degree overload attacks, and all overload attacks) in scale-free networks. The results show that: multiple processes of cascading failures occur at several different moments; reducing both the number and load of mobile nodes can increase the robustness of the network; among the three attack modes, the low-degree overload attacks cause the most significant scale of failure, followed by the high-degree overload attacks and finally all overload attacks. The experimental results can provide theoretical guidance for cascading failures in static-mobile networks.

Suggested Citation

  • Yin, Rongrong & Zhang, Kai & Ma, Xuyao & Wang, Yumeng & Li, Linhui, 2023. "Analysis of cascading failures caused by mobile overload attacks in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    • Handle: RePEc:eee:phsmap:v:615:y:2023:i:c:s037843712300153x
    DOI: 10.1016/j.physa.2023.128598
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843712300153X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2023.128598?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. He, Zhidong & Navneet, Kumar & van Dam, Wirdmer & Van Mieghem, Piet, 2021. "Robustness assessment of multimodal freight transport networks," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    2. Jin, Ziyang & Duan, Dongli & Wang, Ning, 2022. "Cascading failure of complex networks based on load redistribution and epidemic process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    3. Hong Liu & Yunyan Han & Jinlong Ni & Anding Zhu & A. M. Bastos Pereira, 2022. "Modelling Underload Cascading Failure and Mitigation Strategy of Supply Chain Complex Network in COVID-19," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, February.
    4. Zhao, Han-Tao & Lin, Lin & Xu, Chong-Peng & Li, Zhi-Xiao & Zhao, Xin, 2020. "Cellular automata model under Kerner’s framework of three-phase traffic theory considering the effect of forward–backward vehicles in internet of vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    5. Volker Turau & Christoph Weyer, 2019. "Cascading failures in complex networks caused by overload attacks," Journal of Heuristics, Springer, vol. 25(6), pages 837-859, December.
    6. Fu, Minglei & Yang, Hongbo & Feng, Jun & Guo, Wen & Le, Zichun & Lande, Dmytro & Manko, Dmytro, 2018. "Preferential information dynamics model for online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 993-1005.
    7. Peng, Xingzhao & Yao, Hong & Du, Jun & Wang, Zhe & Ding, Chao, 2015. "Invulnerability of scale-free network against critical node failures based on a renewed cascading failure model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 69-77.
    8. Lv, Changchun & Yuan, Ziwei & Si, Shubin & Duan, Dongli & Yao, Shirui, 2022. "Cascading failure in networks with dynamical behavior against multi-node removal," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    9. Yin, Rong-Rong & Yuan, Huaili & Wang, Jing & Zhao, Ning & Liu, Lei, 2021. "Modeling and analyzing cascading dynamics of the urban road traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    10. Yang, Han-Xin & Tang, Ming, 2014. "Adaptive routing strategy on networks of mobile nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 1-7.
    11. Xiao, Feng & Li, Jin & Wei, Bo, 2022. "Cascading failure analysis and critical node identification in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    12. Yin, Rong-Rong & Liu, Bin & Liu, Hao-Ran & Li, Ya-Qian, 2014. "The critical load of scale-free fault-tolerant topology in wireless sensor networks for cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 8-16.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yin, Rongrong & Wang, Yumeng & Li, Linhui & Zhang, Le & Hao, Zhenyang & Lang, Chun, 2024. "A mobile node path optimization approach based on Q-learning to defend against cascading failures on static-mobile networks," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yin, Rongrong & Wang, Yumeng & Li, Linhui & Zhang, Le & Hao, Zhenyang & Lang, Chun, 2024. "A mobile node path optimization approach based on Q-learning to defend against cascading failures on static-mobile networks," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    2. Fu, Xiuwen & Wang, Ye & Yang, Yongsheng & Postolache, Octavian, 2022. "Analysis on cascading reliability of edge-assisted Internet of Things," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    3. Shen, Yi & Yang, Huang & Xie, Yuangcheng & Liu, Yang & Ren, Gang, 2023. "Adaptive robustness optimization against network cascading congestion induced by fluctuant load via a bilateral-adaptive strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    4. Di Zhang & Limin Jia & Jin Ning & Yujiang Ye & Hao Sun & Ruifeng Shi, 2023. "Power Grid Structure Performance Evaluation Based on Complex Network Cascade Failure Analysis," Energies, MDPI, vol. 16(2), pages 1-15, January.
    5. Fu, Xiuwen & Yao, Haiqing & Yang, Yongsheng, 2019. "Modeling and analyzing cascading dynamics of the clustered wireless sensor network," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 1-10.
    6. Kurmankhojayev, Daniyar & Li, Guoyuan & Chen, Anthony, 2024. "Link criticality index: Refinement, framework extension, and a case study," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    7. Wang, Jie & Zhang, Yangyi & Li, Shunlong & Xu, Wencheng & Jin, Yao, 2024. "Directed network-based connectivity probability evaluation for urban bridges," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Chen, Lei & Kou, Yingxin & Li, Zhanwu & Xu, An & Wu, Cheng, 2018. "Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 754-773.
    9. Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2023. "Towards analyzing the robustness of the Integrated Global Transportation Network Abstraction (IGTNA)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    10. Yi, Chengqi & Bao, Yuanyuan & Jiang, Jingchi & Xue, Yibo, 2015. "Modeling cascading failures with the crisis of trust in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 256-271.
    11. Yu, Yun-Chi & Gardoni, Paolo, 2022. "Predicting road blockage due to building damage following earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    12. Wang, Ziqi & Pei, Yulong & Zhang, Jianhua & Dong, Chuntong & Liu, Jing & Zhou, Dongyue, 2024. "Vulnerability analysis of public transit systems from the perspective of the traffic situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    13. Zhang, Mingyuan & Yang, Xiangjie & Zhang, Juan & Li, Gang, 2022. "Post-earthquake resilience optimization of a rural “road-bridge†transportation network system," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    14. Zhou, Lin & Qi, Xiaogang & Liu, Lifang, 2023. "Robustness of networks with dependency groups considering fluctuating loads and recovery behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    15. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2024. "A network-based approach to improving robustness of a high-speed train by structure adjustment," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    16. Liu, Yang & Ma, Xiaoxue & Qiao, Weiliang & Ma, Laihao & Han, Bing, 2024. "A novel methodology to model disruption propagation for resilient maritime transportation systems–a case study of the Arctic maritime transportation system," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. Wei, Wei & Hu, Qiuyuan & Zhang, Qinghui, 2024. "Improving node connectivity by optimized dual tree-based effective node consolidation," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    18. Ma, Xiangyu & Zhou, Huijie & Li, Zhiyi, 2021. "On the resilience of modern power systems: A complex network perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    19. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    20. Wei, Wei & Sun, Guobin & Zhang, Qinghui, 2024. "Large-scale robustness-oriented efficient edge addition through traversal tree-based weak edge identification," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:615:y:2023:i:c:s037843712300153x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.