面向选择推荐节点的P2P网络信任模型

对等网（P2P）具有开放性、匿名性等特点，节点之间的交互类型复杂多样并且具有较小的重复交互性，导致其节点之间的信任关系难以确定。提出一种基于选择节点的P2P网络信任模型，通过直接信任和推荐信任得到节点综合信任值。选择推荐节点时，使用推荐节点与交互节点信任值相似度作为标准，以其信任差值最小的推荐节点作为被选择节点；同时，针对共谋团体的团伙欺骗，提出连带惩罚机制以及对提供可靠消息节点的奖励机制。仿真实验结果表明，该模型不但具有抗恶意节点攻击的能力，同时还具有较高的自适应能力。

A P2P network trust model for selecting recommended nodes

Due to the openness and anonymity of Peer to Peer (P2P), the types of interactions between nodes are complex and diverse, and they have small repetitive interactions, which makes it difficult to define the trust relationship between nodes. Based on selected nodes, we propose a P2P network trust model, and obtain comprehensive trust value through direct trust and the recommended trust for each node. Recommendation nodes whose trust value is closest to the interactive nodes are selected, that is to say, nodes with the smallest trust difference are selected. We also propose a joint punishment mechanism and an incentive mechanism to prevent gang cheating of the conspiracy group. Simulation experiments show that the trust model is not only capable of resisting attacks of malicious nodes, but also has a high self adaptability.