Fraud Against Model for Seller''s Reputation of C2C
一种抗欺诈的C2C卖方信誉计算模型研究

A fraud against model for seller’s reputation(C2CRep) from the buyer’s view was put forward through introducing the price,credibility of feedback,collusion to resist fraud by abundance of cheap goods,collusion,and slander problems.The online purchase and feedback data was used to verify the model’s validity.The suspicious fraud data was filtered by basic characteristics defined,and reputation compute error index(RCE) was presented.Results show that RCE of C2CRep is significantly lower than SPORAS and Taobao’s reputation model in three type fraud.RCE is below 15% under three situations,and it reflects a strong anti-attack performance.