哈尔滨商业大学学报（自然科学版）2011，Vol.27Issue(5)：690-694,5.
构造P2P电子商务系统中基于推荐过滤信任模型
Recommendation- based trust model for P2P E -commerce systems
摘要
Abstract
Based on analysis and comparison of the existing work, a reputation - based trust mechanism for P2P E-commerce systems which is based on local reputations and global reputations was chosen, due to its better performance. To improve the accuracy and anti - attack capability of the model, a filtering method based on the iterative dichotomy for aggregate and more comprehensive trust factors are introduced. Besides, to compute the trust value of sellers and buyers, the concept of belief factor was introduced to integrate the local reputation with the global reputation. So the model can avoid peers cover up malicious sales by honest purchases. The effectiveness and resistibility of the proposed trust model were evaluated by theoretical analysis and simulation experiments. The experimental results showed that the proposed trust evaluation model outperforms existing models, it could convergence the trust value to a fixed value sooner and also more accurate and effective to resist malicious attacks.关键词
P2P电子商务系统/信任评价模型/局部声誉/全局声誉/推荐节点过滤Key words
P2P E-commerce system/ trust evaluation model/ local reputation/ global reputation/ recommend peers/ filter分类
信息技术与安全科学引用本文复制引用
陈力萍,吕巍..构造P2P电子商务系统中基于推荐过滤信任模型[J].哈尔滨商业大学学报（自然科学版）,2011,27(5):690-694,5.基金项目
国家自然基金重点项目(70832004) （70832004）
