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A Comparative Study of Anomaly Detection Techniques in Web Site Defacement Detection

Giorgio Davanzo7, Eric Medvet7 and Alberto Bartoli7

(7)  DEEI - Università degli Studi di, Trieste
Abstract
Web site defacement, the process of introducing unauthorized modifications to a web site, is a very common form of attack. Detecting such events automatically is very difficult because web pages are highly dynamic and their degree of dynamism, as well as their typical content and appearance, may vary widely across different pages. Anomaly based detection can be a feasible and effective solution for this task because it does not require any prior knowledge about the page to be monitored. This study enables gaining further insights into the problem of automatic detection of web defacements.We want to ascertain whether existing techniques for anomaly intrusion detection may be applied to this problem and we want to assess pros and cons of incorporating domain knowledge into the detection algorithm.

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