用户对P2P网络安全性的需求刺激了信任模型的发展.在分析现有信任模型的基础上,提出了基于反馈相关性的动态信任模型——CoDyTrust.其在时间帧的基础上,采用虚假信任过滤机制和信任聚合机制,并在信任值计算中引入信任相关系数、信任遗忘因子、滥用信任值和推荐信任度等,通过反馈控制机制动态调节这些模型因子,在准确评价节点对不同资源信任的同时,实现网络中恶意行为检测.比较分析结果表明,CoDyTrust能够更好地反映网络中节点行为,准确检测恶意节点,有效抵御振荡、撒谎和合谋等攻击.%Users' demands for the security of peer-to-peer network stimulate the development of trust model. By analyzing the previous trust and reputation systems, we proposed a novel feedback correlation based dynamic trust model for P2P systems,namely CoDyTrust. The trust model adopts fake trust filtering and trust aggregation mechanisms based on the time frames,and introduces several factors in the calculation of the global trust value, including correlation coefficient, trust forgetting factor, abused trust value and recommended trust. The factors can be adjusted dynamically through the feedback control mechanism. CoDyTrust can reflect the trust status of a node in the system, while providing the function of detecting malicious behaviors. The experimental results indicate that CoDyTrust can accurately detect malicious peers, which has the ability of defending strategic altering behavior,lying and collusive attack as well.
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