一种直接评价节点诚信度的分布式信任机制

基于信誉的信任机制能够有效解决P2P网络中病毒泛滥和欺诈行为等问题.现有信任机制大多采用单个信誉值描述节点的诚信度,不能防止恶意节点用诚信买行为掩盖恶意卖行为;而且从信誉值上无法区分初始节点和恶意节点.提出一种新的分布式信任机制,基于交易历史,通过迭代求解,为每个节点计算全局买信誉值和卖信誉值,根据信誉值便能判断节点的善恶.仿真实验对比和性能分析表明,与EigenTrust算法相比,该算法能够迅速降低恶意节点的全局信誉值,抑制合谋攻击,降低恶意交易概率.

A Distributed Trust Mechanism Directly Evaluating Reputation of Nodes

Reputation-Based trust mechanism can efficiently solve the problems of virus flooding and malicious behaviors in P2P network. Most of the existing trust mechanisms use a single reputation value to depict the node's reliability, which cannot prevent malicious nodes from concealing dishonest selling behaviors with honest buying behaviors, and cannot separate the new node from the malicious one. This paper provides a new distributed trust mechanism, which iteratively calculates for each node a global seller reputation value and a global buyer reputation value based on transaction history, and whether a node is trustable or not can be identified from them. Comparison experiments and performance analysis between the mechanism and EigenTrust show that the mechanism can reduce the global reputation value of malicious node rapidly, restrain collusion attack, and decrease probability malicious transactions.