计算机科学 ›› 2018, Vol. 45 ›› Issue (7): 122-128.doi: 10.11896／j.issn.1002-137X.2018.07.020
刘枭,王晓国
LIU Xiao, WANG Xiao-guo
摘要： 近几年,经由电信网络实施的诈骗频发,给银行用户带来了巨大的经济损失。现有的银行欺诈检测方法通常先提取账户交易的RFM(Recency,Frequency,Monetary Value)特征,然后采用有监督的方法训练分类器来识别诈骗交易。但是,这类方法没有考虑交易网络的结构特征。电信诈骗具有明显的集团特性,在交易网络中会呈现出特定的结构特征,使用交易网络的结构特征有助于识别电信诈骗。针对电信诈骗的集团特性,设计相应的马尔可夫网络用于识别电信诈骗中的欺诈账户。给出了该马尔可夫网络的线性迭代优化式,并证明了其理论收敛条件。最后在模拟数据和真实数据上测试了所提方法的性能,并将其与CIA和SybilRank进行比较。实验结果表明,所提方法具有更低的假阳性和更好的抗噪性。在真实数据上,将基于账户交易特征的方法与所提方法结合,可以取得比单独使用两种方法更好的识别性能。
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