LogView: Visualizing Event Log Clusters

A. Makanju, Stephen Brooks, A. N. Zincir-Heywood, E. Milios
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引用次数: 64

Abstract

Event logs or log files form an essential part of any network management and administration setup. While log files are invaluable to a network administrator, the vast amount of data they sometimes contain can be overwhelming and can sometimes hinder rather than facilitate the tasks of a network administrator. For this reason several event clustering algorithms for log files have been proposed, one of which is the event clustering algorithm proposed by Risto Vaarandi, on which his simple log file clustering tool (SLCT) is based. The aim of this work is to develop a visualization tool that can be used to view log files based on the clusters produced by SLCT. The proposed visualization tool, which is called LogView, utilizes treemaps to visualize the hierarchical structure of the clusters produced by SLCT. Our results based on different application log files show that LogView can ease the summarization of vast amount of data contained in the log files. This in turn can help to speed up the analysis of event data in order to detect any security issues on a given application.
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LogView:可视化事件日志集群
事件日志或日志文件是任何网络管理和管理设置的重要组成部分。虽然日志文件对网络管理员来说是无价的,但它们有时包含的大量数据可能令人难以承受,有时会阻碍而不是促进网络管理员的任务。出于这个原因,已经提出了几种日志文件的事件聚类算法,其中一种是Risto Vaarandi提出的事件聚类算法,他的简单日志文件聚类工具(SLCT)就是基于这种算法。这项工作的目的是开发一种可视化工具,可用于查看基于SLCT生成的集群的日志文件。所提出的可视化工具称为LogView,它利用树图来可视化由SLCT产生的集群的层次结构。基于不同应用程序日志文件的结果表明,LogView可以简化日志文件中包含的大量数据的汇总。这反过来又有助于加快对事件数据的分析,以便检测给定应用程序上的任何安全问题。
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