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基于Web日志的序列模式挖掘应用研究
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作者 王燕 《信息技术》 2009年第9期12-15,共4页
首先分析了序列模式挖掘算法——类Apriori算法,然后重点介绍了如何对Web服务产生的大量日志数据进行收集、预处理,并基于类Apriori算法对Web日志进行分析,发现新模式,为优化网站建设提供有价值数据。
关键词 数据挖掘 序列模式 类Aprior算法 web服务器日志
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HTTP-sCAN:Detecting HTTP-Flooding Attack by Modeling Multi-Features of Web Browsing Behavior from Noisy Web-Logs 被引量:3
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作者 WANG Jin ZHANG Min +2 位作者 YANG Xiaolong LONG Keping XU Jie 《China Communications》 SCIE CSCD 2015年第2期118-128,共11页
HTTP-flooding attack disables the victimized web server by sending a large number of HTTP Get requests.Recent research tends to detect HTTP-flooding with the anomaly-based approaches,which detect the HTTP-flooding by ... HTTP-flooding attack disables the victimized web server by sending a large number of HTTP Get requests.Recent research tends to detect HTTP-flooding with the anomaly-based approaches,which detect the HTTP-flooding by modeling the behavior of normal web surfers.However,most of the existing anomaly-based detection approaches usually cannot filter the web-crawling traces from unknown searching bots mixed in normal web browsing logs.These web-crawling traces can bias the base-line profile of anomaly-based schemes in their training phase,and further degrade their detection performance.This paper proposes a novel web-crawling tracestolerated method to build baseline profile,and designs a new anomaly-based HTTP-flooding detection scheme(abbr.HTTP-sCAN).The simulation results show that HTTP-sCAN is immune to the interferences of unknown webcrawling traces,and can detect all HTTPflooding attacks. 展开更多
关键词 IP network DDoS relative entropy cluster algorithm
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