CERep:一种可信度增强的信誉机制

CERep: A credibility enhanced reputation mechanism

增强信誉机制对信誉信息的有效聚合能力是信誉系统成功的基础。已有的基于局部信誉信息的信誉系统难以有效处理节点的复杂策略不诚实推荐行为,并且可能把提供诚实推荐的节点错误划分为不诚实节点。对此,提出了一种可信度增强的信誉机制CERep。该机制中,节点基于自身的经验产生的直接信任评价,包含直接信任评价值和关于此评价值的信心因子两个部分。在此基础上,提出了新的基于信誉的信任评价算法和推荐可信度计算模型,并给出了信誉机制的分布式实现策略。分析和模拟实验表明,CERep信誉机制能够有效应对复杂策略的不诚实推荐行为,提高信任评价的准确性,实现对节点推荐可信度更公平的评价。

Enhancing reputation mechanism＇s capability of aggregating reputation information effectively is the foundation of a successful reputation system. Current reputation systems based on localized reputation information cannot process such strategic recommendations as correlative and collusive ratings. Furthermore there exists unfairness to blameless peers in these models. Therefore,a Credibility Enhanced Reputation mechanism CERep is presented. In CERep,a peer uses its experiences to compute the direct trust valuation which contains direct trust value and level of confidence about this value,then a reputation-based trust valuation scheme and recommendation credibility computation model is proposed. Moreover,the strategies used for implementing the reputation mechanism are also discussed. Theoretical analysis and simulation show that CERep reputation mechanism proposed can help peers effectively detect dishonest recommendations in a variety of scenarios where more complex malicious strategies are introduced,and achieve a more accurate trust valuation and fair evaluation of recommendations.