摘要
为了解决电子商务系统中恶意节点的欺骗行为,提出了一种基于声望的电子商务信任机制。信任具有主观性和不确定性,不同个体的评价标准是不一样的。利用云模型解决不同实体之间的评价标准的差异,从正态分布的角度考虑是否是恶意评估,同时方案还考虑了交易时间、金额等因素对信任度的影响,提高全局声望和局部声望计算的精确性,以提高了信任计算的准确性。最后,对该信任机制的抗攻击性和可行性进行理论分析和实验证明。结果表明该机制能够有效地抵制恶意行为的发生。
In order to solve the problem of the cheat of malicious users in e-commerce, present a trust mechanism based on reputation. Trust with the subjectivity and uncertainty and different individuals have different evaluation criterion. Using cloud model to solve difference of evaluation criteria of different entities, consider the assessment whether it is malicious from normal distribution point. Meanwhile the model considers the amount and time of the trade to enhance the local and global reputations precisely and the veracity of the compu- ting of the trust degree. Finally, anti-aggressive and feasibility of the proposed trust mechanism are analyzed theoretically and evaluated experimentally. The experimental results show that the model can effectively decrease the malicious trade.
出处
《计算机技术与发展》
2011年第3期165-169,共5页
Computer Technology and Development
基金
国防科技重点实验室和航空科学基金联合资助项目(20085552021)
关键词
电子商务
云模型
信任
声誉
e-commerce
cloud model
trust
reputation
