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基于决策树分类的跨站脚本攻击检测方法

张海燕 莫勇

微型机与应用Issue(16):55-57,61,4.
微型机与应用Issue(16):55-57,61,4.

基于决策树分类的跨站脚本攻击检测方法

A method of cross site scripting detection based on decision tree

张海燕 1莫勇1

作者信息

  • 1. 北京林业大学 信息学院,北京 100083
  • 折叠

摘要

Abstract

Cross site scripting (XSS) is a special kind of Web client script injection attacks. Aiming at the lack of effective prevention measures against XSS, a method is proposed by adopting the decision tree to set the detection. It takes the attributes which are vulnerable to cross site scripting attack as feature attributes, and takes decision tree to detect XSS base on feature attribute values. Experimental results show that this method can effectively detect XSS attack.

关键词

Web 安全/跨站脚本攻击/决策树算法/攻击检测

Key words

Web security/XSS/decision tree/attack detection

分类

信息技术与安全科学

引用本文复制引用

张海燕,莫勇..基于决策树分类的跨站脚本攻击检测方法[J].微型机与应用,2015,(16):55-57,61,4.

基金项目

国家自然科学基金项目(61300180);中央高校基本科研业务费专项资金资助项目 ()

微型机与应用

2097-1788

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