摘要
针对P2P电子商务中的信任缺失问题,一种基于模糊理论的P2P电子商务信任动态评估模型被提出.该模型运用模糊理论的方法对信任进行度量,通过引入惩罚因子和时间衰减因子,结合黑名单机制,有效地防止了交易中的欺诈行为.仿真实验结果表明,该模型能有效隔离恶意节点,提高成功交易率.
Aiming at the lack of trust in P2P e-commerce, a trust dynamic evaluation model based on the fuzzy theory in P2P e-commerce is proposed. This model measures trust by using the fuzzy theory method, and can effectively prevent fraud in the transaction through the introduction of penalty factor and time attenuation factor, combining with blacklist mechanism. Simulation results show that this model can separate malicious node effectively and improve the rate of successful transaction.
出处
《湖南师范大学自然科学学报》
CAS
北大核心
2013年第1期34-38,共5页
Journal of Natural Science of Hunan Normal University
基金
遵义市科技局资助项目(遵市科合社字[2009]23号)
关键词
模糊理论
信任度计算
惩罚因子
黑名单机制
fuzzy theory
trust degree calculation
penalty factor
blacklist mechanism
