Malicious user identification method, device and equipment

• Main Authors: LI YINGCONG, JI NAN, SHANG YIDUO, LI BINYANG, OUYANG XIUPING, WANG HAIJING, CHEN CHENG
• Format: Patent
• Language: Chinese; English
• Published: 19.03.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a malicious user identification method, device and equipment. The method comprises the steps of obtaining feature attribute information of a to-be-identified user; inputting thefeature attribute information into a target classifier to obtain an identification result, the identification result being used for representing whether the to-be-identified user is a malicious useror not, and enabling the target classifier to generate a new training sample through the first classifier after the first classifier and the second classifier are obtained according to the multiple training samples; and training the second classifier by using the new training sample; outputting recognition results. Through the method, the efficiency of identifying malicious users can be improved. 本申请提供一种恶意用户的识别方法、装置和设备，该方法包括：获取待识别用户的特征属性信息；将特征属性信息输入目标分类器中，得到识别结果，识别结果用于表征待识别用户是否为恶意用户，目标分类器为根据多个训练样本得到第一分类器和第二分类器后，再通过第一分类器生成新的训练样本，并采用新的训练样本对第二分类器进行训练后得到的；输出识别结果。通过该方法能够提高识别恶意用户的效率。