An Anti-attack Model Based on Complex Network Theory in P2P networks

TL;DR

This paper proposes an anti-attack model for P2P networks using complex network theory, employing dynamic compensation, local healing, and reverse percolation to restore network integrity after attacks.

Contribution

It introduces a novel anti-attack framework combining dynamic compensation and reverse percolation processes for P2P network protection.

Findings

Transforms attacked networks into power-law with exponential cutoff

Restores maximum degree of peers to normal levels

Reconnects fragmented peers into a giant component

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 dynamic compensation process and 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.