Analyzing Web Users Behavior to Improve Web Filtering
Abstract
In this paper, a new method to improve sites access filtering is presented. This method is based on web visitor behavior analysis. In order to analyze the behavior of users, A procedure is proposed following which, based on the information in the log files of proxy servers, user’s behavior history was extracted and stocked in a data bank by a data-mining engine. Authorized or unauthorized access to the desired page, when a user requests a new page, is reported after investigation of the user’s behavior history. The above architecture was tested, using data from one of the globally credible sites, and the results were analyzed.
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