摘要：

P2P网络具有良好的可扩展性和健壮性，但其匿名性、开放性等特征成为恶意行为的理想环境。针对上述问题，提出一种基于幂律分布的信誉评估机制识别网络中的良性行为，抵制恶意行为。仿真测试表明，运用该机制后计算节点信誉分值具有较小的计算开销和良好的准确度，支持节点的动态加入和退出，对于恶意节点的骚扰具有很强的健壮性。

关键词: P2P网络, 信誉计算, 幂律分布, 位置保留哈希

Abstract:

P2P network becomes more and more popular due to its good scalability and robustness. However, because of anonymity and openness, P2P network also becomes an ideal environment for some malicious behaviors. This paper proposes a P2P reputation estimation mechanism based on power-law distribution for identifying good behaviors and resisting malicious behaviors. Simulation results show that computing reputation score for P2P by using the mechanism has less computing cost and better accuracy, it is adaptable to dynamics in peer joining and leaving and robust to disturbance by malicious peers.

Key words: P2P network, reputation computation, power-law distribution, Locality Preserving Hashing(LPH)

中图分类号: 

• TP393