QR码网络钓鱼检测研究  

Research on QR Code Phishing Detection

作　　者：刘大恒 李红灵[1] LIU Daheng;LI Hongling(Information Institute,Yunnan University,Kunming 650000,China)

机构地区：[1]云南大学信息学院,昆明650000

出　　处：《信息网络安全》2020年第9期42-46,共5页Netinfo Security

基　　金：国家自然科学基金[61562090]。

摘　　要：近年来,通过钓鱼网站实施诈骗的案件呈逐年上升趋势。相较于传统的钓鱼方式,QR码以制作门槛低、使用范围广和钓鱼成功率高等特点,使得QR码钓鱼方式颇受不法分子青睐。文章在分析总结基于QR码的网络钓鱼实施过程及其破坏性的基础上,重点从URL结构和网页页面结构两方面进行相应的异常特征检测,实现了基于SVM的QR码网络钓鱼检测。In recent years,the number of fraud cases through phishing websites has been increasing year by year.Compared with traditional phishing methods,QR code is favored by criminals because of its low production threshold,wide use range,and high success rate in implementing phishing.On the basis of analyzing and summarizing the implementation process of phishing based on QR code and its destructiveness,this article focuses on detecting abnormal features from two aspects of URL structure and Web page structure,and realizes QR code phishing detection based on SVM.

关 键 词：钓鱼网站 QR码 网络安全 URL检测 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]