期刊论文

Detection of Phishing URL Based on Abnormal Feature

中文

信息网络安全

1671-1122

2012

1

23-25,67

10.3969/j.issn.1671-1122.2012.01.006

国家自然科学基金项目[61073191] 湖南省自然科学基金资助项目[10JJ4043,10JJ5062] 湖南省教育厅资助项目[08B091] 湖南省科技重大专项项目[2010J05] 湖南省科技计划重点项目[2010NK2003] 湖南省科技计划项目[2010TZ4012]

本校为第一机构

典型的网络钓鱼是采用群发垃圾邮件,欺骗用户点击钓鱼网站URL地址,登录并输入个人机密信息的一种攻击手段。文章通过分析钓鱼网站URL地址的结构和词汇特征,提出一种基于异常特征的钓鱼网站URL检测方法。抽取钓鱼网站URL地址中4个结构特征、8个词汇特征,组成12个特征的特征向量,用SVM进行训练和分类。对PhishTank上7291条钓鱼网站URL分类实验,检测出7134条钓鱼网站URL,准确率达到97.85%。

Phishing tries to lure her victim into clicking a phishing URL pointing to a spoof page via spam-email to harvest financial information.In this paper,a novel method is proposed to detect phishing URL based on abnormal feature.The feature vector is constructed with 12 features to model the SVM,which 4 features are the structure feature of the phishing URL,8 features are lexical feature.The method can correct to classify 7134 phishing URLs of 7291downloaded in Phi...