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Applying Data Mining Techniques in Intrusion Detection System on Web and Analysis of Web Usage

机译:数据挖掘技术在Web入侵检测系统中的应用及Web使用率分析

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This research concentrates on a particular aspect, which is to detect the intrusion on the web by applying Data Mining Technique especially by association analysis algorithm on the web log files. This algorithm depends on the facts that define the intrusion. As known the association algorithm first extracted the large itemsets that represent the super facts to build the association analysis for the intrusion. After building the intrusion detection scheme, all the transaction presented in the intrusion was deleted. Analysis the web log data file was again analyzed for the web usage, to study the visitor tracking without tracking the intruder visitors. According to this study the server configurations and all the services were improved.
机译:这项研究集中在一个特定的方面,即通过应用数据挖掘技术,尤其是通过对Web日志文件进行关联分析算法来检测Web上的入侵。该算法取决于定义入侵的事实。众所周知,关联算法首先提取代表超级事实的大项目集,以建立入侵的关联分析。建立入侵检测方案后,入侵中显示的所有事务均被删除。再次分析网络日志数据文件的网络使用情况,以研究访客跟踪,而无需跟踪入侵者访客。根据这项研究,服务器配置和所有服务得到了改善。

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