构建风险敏感的对等网安全信任模型

为在对等(P2P)网环境中构建一个高效、可扩展和安全的信任模型，研究了对等网信任模型，并提出了一种风险敏感的对等网信任模型. 该模型构建了一种新的风险信誉关系模型，并将风险因素推广到推荐信誉中. 借用了新的风险评估函数和串联概率模型计算方法，更加精确地量化了直接交易与间接推荐带来的风险. 为防止恶意节点的诋毁和协同作弊攻击，对推荐的局部信誉和局部信誉风险度采用了中心偏离度方法做去噪处理. 仿真实验和分析证明，该模型较其他模型有较大的性能提高，能大大增强系统的安全性.

Construct a Risk-Aware Peer-to-Peer Security Trust Model

To construct an efficient scalable and security trust model in Peer-to-Peer (P2P) network, the peer-to-peer trust model is studied and a risk-aware peer-to-peer trust model is built. This model constructs a new model of the relationship between risk and reputation, and interlards recommendation reputation with risk. By means of a new risk evaluation function and the computation of probability model in series, the risk brought by direct exchange and indirect recommendation is well quantified. To avoid the slander or coordinated cheat attack of malicious node, this model filters the local reputation and local risk of the recommendation with the center deviation method. The simulation and analysis demonstrates that this trust model is significantly enhanced and can greatly improve the security of system.