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基于搜索引擎蠕虫的分析与检测
引用本文:肖颖,云晓春,辛毅.基于搜索引擎蠕虫的分析与检测[J].计算机工程与应用,2006,42(7):112-115.
作者姓名:肖颖  云晓春  辛毅
作者单位:哈尔滨工业大学计算机系,北京,100029;哈尔滨工业大学计算机系,北京,100029;哈尔滨工业大学计算机系,北京,100029
摘    要:目前,蠕虫已经成为了互联网络安全的最大威胁,蠕虫攻击、扫描技术经过不断的发展和改进,已经日趋智能化、隐蔽化。搜索引擎被人们用来在Internet上检索感兴趣的东西,同样也会被蠕虫利用进行攻击和传播。利用互联网络的搜索引擎进行攻击和传播的蠕虫,实现了隐蔽、小流量、准确地传播。文章首先分析了这类基于搜索引擎的蠕虫的特征,然后提出了用户检索模型和异常判定算法,经过实验证明,此种检测方法确实高效可行。

关 键 词:搜索引擎  Perl.Santy蠕虫  统计  异常检测
文章编号:1002-8331-(2006)07-0112-04
收稿时间:2005-09
修稿时间:2005-09

The Analysis and Detection of Worms Based on Web Search Engine
Xiao Ying,Yun Xiaochun,Xin Yi.The Analysis and Detection of Worms Based on Web Search Engine[J].Computer Engineering and Applications,2006,42(7):112-115.
Authors:Xiao Ying  Yun Xiaochun  Xin Yi
Affiliation:Computer Dept., Harbin Institute of Technology, Beijing 100029
Abstract:Nowadays,the worm becomes the biggest threat in the Internet,the method of propagation of worm is becoming more intelligent and enshrouded.Search engines are used to retrieve interesting things,meanwhile,they can be used by worm for propagation.Worms based on search engines implement enshrouded,precise propagation with small network traffic.ln this paper,we introduce the feature of this kind of worm,and then we propose a client search model and an anomalous detection algorithm.This method is proved to be of high efficiency by experiments.
Keywords:search engine  Perl  Santy worm  statistics  anomaly detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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