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基于敏感特征的网络钓鱼网站检测方法

宋明秋 曹晓芸

大连理工大学学报Issue(6):903-907,5.
大连理工大学学报Issue(6):903-907,5.

基于敏感特征的网络钓鱼网站检测方法

Phishing detection method based on sensitive characteristics of phishing webpage

宋明秋 1曹晓芸1

作者信息

  • 1. 大连理工大学管理科学与工程学院,辽宁大连 116024
  • 折叠

摘要

Abstract

Phishing is a kind of online fraud which is widespread in the electronic commerce and electronic banking .A method of phishing detection based on sensitive characteristics - PhishDetector is proposed .Firstly ,the black/white list technology is used to intercept URL ,and then the sensitive features of those URL not existing in the lists are extracted , and lastly a phishing webpage is distinguished with a linear classifier .The experimental results show that this method is better both in accuracy and false positive rate .

关键词

网络钓鱼/敏感特征/线性分类器

Key words

phishing/sensitive characteristics/linear classifier

分类

信息技术与安全科学

引用本文复制引用

宋明秋,曹晓芸..基于敏感特征的网络钓鱼网站检测方法[J].大连理工大学学报,2013,(6):903-907,5.

基金项目

国家自然科学基金资助项目(71171028). ()

大连理工大学学报

OA北大核心CSCDCSTPCD

1000-8608

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