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Preprocessing Web Logs for Web Intrusion Detection

Priyanka V. Patil, Dharmaraj Patil Published in Security

IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/icwac1332
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  1. Priyanka V Patil and Dharmaraj Patil. Article: Preprocessing Web Logs for Web Intrusion Detection. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(3):11-15, June 2013. BibTeX

    @article{key:article,
    	author = "Priyanka V. Patil and Dharmaraj Patil",
    	title = "Article: Preprocessing Web Logs for Web Intrusion Detection",
    	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
    	year = 2013,
    	volume = "ICWAC",
    	number = 3,
    	pages = "11-15",
    	month = "June",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Rapid growth in web development provides a way to deliver complex business solution. The increase in web dependency increases web hacking activities. An Intrusion detection has been accepted as a decent security system. It is a process used to identify abnormal activities in a computer system. When user visit website his or her clicks recorded in log file. Log file recorded information about each user. Log file contains unnecessary and noisy data which may affect the results of intrusion detection process. We analyzed log file using preprocessing, preprocessing reduce log file size and increase quality of available data. This paper gives a detailed discussion about the preprocessing web logs. Also Misuse based and Anomaly based Intrusion detection techniques. Intrusion detection plays an important role in addressing security problems of web servers and detecting attacks by monitoring computer system. We propose Web intrusion detection system with Misuse and Anomaly detection mode by using web server access logs.

Reference

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Keywords

Intrusion Detection, Preprocessing Log File, Host Based, Web Logs