基于网络流量的用户网络行为被害性分析模型.pdf

研究与开发
基于网络流量的用户网络行为被害性分析模型
周胜利，徐啸炀
（浙江警察学院，浙江 杭州 310051）
摘 要：网络行为被害性分析对于电信网络诈骗犯罪的防控具有深远意义。通过研究用户与网站交互产生的
网络流量，提出一种基于网络流量分析的电信网络诈骗犯罪用户网络行为被害性识别模型，分析不同网络行
为特征之间的关联规则，重构网络行为序列特征，同时结合随机森林算法评估网络行为的被害性。在被害人
网络行为数据集基础上进行实验，证明模型能够有效提升网络行为被害性识别准确率。
关键词：网络流量；网络行为编码；关联规则挖掘；被害性分析
中图分类号：TP311
文献标识码：A
doi: .1000-
Victimization analysis model of user network
behavior based on network traffic
ZHOU Shengli, XU Xiaoyang
Zhejiang Police College, Hangzhou 310051, China
Abstract: The analysis of network victimization is of great significance to the prevention and control of telecom
fraud. By studying the network traffic generated by the interaction between users and websites, a victimization identi-
fication model of telecom fraud crime based on network behavior flow analysis was proposed, the association rules
between different behavior characteristics were analyzed, the behavior sequence features were reconstructed, and the
victimization of network be