基于概率圖的IMS固話詐騙識別模型的構(gòu)建及應(yīng)用分析

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中圖分類號：TN929.53；TP393.4 文獻標志碼：B 文章編碼：1672-7274（2025）05-0067-03

Abstract：This paper presents an IMS landline fraud identification modelbased on probabilistic graphs.It utilizes communication social networks and combines Markov RandomFields （MRF）andLoopy Belief Propagation （LBP） algorithms.Bydynamicallyanalyzing users'callbehaviors and socialrelationships，the model achievesaccurate fraud detection.Practicalapplications demonstratethatthe modelsignificantly improves the eficiencyofIMSlandline fraud management，addressing issuessuchashigh falsepositiveratesandhighlaborcosts，therebyprovidingcrucialsupport forlaw enforcement agencies and operators in effectively combating fraud.

Keywords：probabilistic graphs;IMS landline fraud identification;Markov RandomFields; loopy belief propagation; communication social networks

近年來，電信網(wǎng)絡(luò)詐騙呈現(xiàn)出多樣化和復(fù)雜化的特點，傳統(tǒng)的反詐騙手段已難以滿足快速、精準的識別需求[1]。（剩余3906字）