抗標(biāo)簽噪聲的魯棒電信詐騙檢測(cè)方法
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doi：10.3969/J.ISSN.1672-7274.2025.06.018
中圖分類(lèi)號(hào)：TN911.23;TP274;TP3 文獻(xiàn)標(biāo)志碼：B 文章編碼：1672-7274（2025）06-0053-04
Robust Telecommunication Fraud Detection Method Resistant to Label Noise ZHANGXin，ZHANGSihai
（China Mobile Communications Group Hubei Co.，Ltd.，Wuhan 43oo23，China）
Abstract： The frequent occurrence of telecommunications fraud has brought huge economic losss to society， and traditionalfraud detection methods often perform poorly when faced with label noise.To this end，this paper proposes a new telecommunications fraud detection method （DNW-GCN） that combines graph convolution network （GCN）and dynamic noise sample weighting technology.This method performs feature aggregation through GCNand dynamicallyreduces the weightofnoise samples tosuppressits interferenceon model training.Experiments showthat DNW-GCN cansignificantly improve the detection accuracyand recallrate of malicious samples under diferent noise levels，and still maintains an accuracy rate of more than 96% and a recall rate of 84.7% in a 35% noise environment， demonstrating good performance.Noise immunity and robustness.
Keywords：telecommunications fraud; graph neural network;label noise
1 研究背景
通信產(chǎn)業(yè)的迅速崛起在為人們帶來(lái)便利的同時(shí)，也給電信詐騙犯罪提供了可乘之機(jī)。（剩余4474字）