Volume 12, Number 1, September 2016 - DOI: http://dx.doi.org/10.21700/ijcis.2016.273


Computing and Information Sciences is a peer reviewed journal that is committed to timely publication of original research, surveying and tutorial contributions on the analysis and development of computing and information science. The journal is designed mainly to serve researchers and developers, dealing with information and computing. Papers that can provide both theoretical analysis, along with carefully designed computational experiments, are particularly welcome. The journal is published 2-3 times per year with distribution to librarians, universities, research centers, researchers in computing, mathematics, and information science. The journal maintains strict refereeing procedures through its editorial policies in order to publish papers of only the highest quality. The refereeing is done by anonymous Reviewers. Often, reviews take four months to six months to obtain, occasionally longer, and it takes an additional several months for the publication process.

DOI: http://dx.doi.org/10.21700/ijcis.2016.273

Framework for Visualizing Browsing Patterns Captured in Computer Logs Using Data Mining Techniques

Rachael Fernandez* email: rf1405233@qu.edu.qa 
Noora Fetais

Qatar University, Department of Computer Science and Engineering, Doha, Qatar

*Corresponding author

Received: 30 July 2016
Revised: 10 August 2016
Accepted: 25 September 2016
Published: 28 September 2016

Abstract: An Intrusion Detection System (IDS) is used for monitoring computer security breaches by monitoring and analyzing the data recorded in log files. However, it is difficult to manually investigate the vast amounts of textual information captured in these logs. In this paper, we propose a framework for an IDS using an Information Visualization (IV) approach, which will aid the IDS administrator in effective and efficient decision-making. The proposed framework works by recording events in different logs and uses a log summarizing mechanism to limit the size of the logs. Each record or event in the log is visualized as a pixel on the screen, where each pixel can be selected to retrieve more information. A prototype of the IDS App for a simple file portal system has been developed to demonstrate the functional capabilities of the proposed framework.

Keywords: Information Visualization; Intrusion Detection System; File portal system; Log Summarization.

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