【摘要】 提出了一种基于推荐机制的抗攻击型对等网络信任管理模型,并给出了普遍适用的、具体量化推荐信息可信度的数学方法.考虑到节点的自主行为及恶意节点的存在,节点的信任度计算被分为信誉值和惩罚值2部分.实验证明,本模型较已有的信任机制在系统成功交易率、模型的安全性等方面有较大改进.更多还原

【Abstract】 A novel trust model for peer to peer(P2P) networks based on recommendation is proposed.The mathematic formulas for rating the local trust value of a peer and updating referrals are presented.Considering the dynamic behaviors of a peer in P2P environments,the computation of the trust value for a peer consists of two parts: reputation value and penalty value.Experimental results show that the proposed model is more robust on trust security problems and more advanced in successful transaction rate compared with the current some trust models,the proposed model is more robust on trust security problems and more advanced in successful transaction rate.更多还原