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An anti-attack model based on complex network theory in P2P networks

Author

Listed:
  • Peng, Hao
  • Lu, Songnian
  • Zhao, Dandan
  • Zhang, Aixin
  • Li, Jianhua

Abstract

Complex network theory is a useful way to study many real systems. In this paper, an anti-attack model based on complex network theory is introduced. The mechanism of this model is based on a dynamic compensation process and a reverse percolation process in P2P networks. The main purpose of the paper is: (i) a dynamic compensation process can turn an attacked P2P network into a power-law (PL) network with exponential cutoff; (ii) a local healing process can restore the maximum degree of peers in an attacked P2P network to a normal level; (iii) a restoring process based on reverse percolation theory connects the fragmentary peers of an attacked P2P network together into a giant connected component. In this way, the model based on complex network theory can be effectively utilized for anti-attack and protection purposes in P2P networks.

Suggested Citation

  • Peng, Hao & Lu, Songnian & Zhao, Dandan & Zhang, Aixin & Li, Jianhua, 2012. "An anti-attack model based on complex network theory in P2P networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2788-2793.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:8:p:2788-2793
    DOI: 10.1016/j.physa.2011.12.051
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    Cited by:

    1. Pourya Pourhejazy & Oh Kyoung Kwon & Young-Tae Chang & Hyosoo (Kevin) Park, 2017. "Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach," Sustainability, MDPI, vol. 9(2), pages 1-19, February.

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