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

Hao Peng, Songnian Lu, Dandan Zhao, Aixin Zhang and Jianhua Li

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 8, 2788-2793

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.

Keywords: Complex network; Peer-to-peer (P2P); Reverse percolation; Dynamic compensation; Power-law (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:8:p:2788-2793

DOI: 10.1016/j.physa.2011.12.051

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