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

作者：Peng, Hao^*; Lu, Songnian; Zhao, Dandan; Zhang, Aixin; Li, Jianhua

来源：Physica A: Statistical Mechanics and Its Applications , 2012, 391(8): 2788-2793.

DOI：10.1016/j.physa.2011.12.051

• Complex network
• Peer-to-peer (P2P)
• Reverse percolation
• Dynamic compensation
• Power-law

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.

• 出版日期2012-4-15
• 单位上海交通大学