基于直接和推荐可信度的P2P综合信任模型

Direct and Recommendation-based Comprehensive Trust Model in P2P Network

提出了一种新的P2P网络环境下的综合信任模型。明确区分了服务质量和反馈质量,不是简单地将节点的信任度作为推荐权重,而是通过节点推荐可信度来计算节点的推荐信任度,并且通过动态权重因子平衡自身交互历史经验和其他节点的推荐信任来计算节点的综合信任度,同时为每个节点引入信誉积分属性以鼓励节点提供服务和推荐信息,提高节点参与网络活动的主动性,给出了信任模型的实现算法和仿真实验。实验结果表明,信任模型能准确计算节点信任度,并且能抵抗恶意节点的夸大、诋毁、协同作弊等恶意行为,具有良好的性能。

A new comprehensive trust model was proposed in peer- to -peer network. Peer＇s service quality and feedback quality were definitely distinguished; recommendation trust value was computed through commendatory credibility, instead of by the weight of commendatory peers. And peer＇s comprehensive trust value was computed dynamically by its direct trust value and recommendation trust value. And virtual reputation score attribute was added to every peer as incentive mechanism, it can encourage peers to provide service and commendatory information, and also enhance the peer＇s positivity of participation. Finally, the trust model＇s distributed algorithm and simulation were put out. Experiment results show that it is accurate to calculate comprehensive trust value, and this trust model can resist some security threats, such as exaggerated and slander, malicious collusions and dynamic strategic attacks. The model was in good performance.