Private and Secure Hyperlink Navigability Assessment in Web Mining Information System
نویسندگان
چکیده
Information explosion in World Wide Web has increased the interest in Web usage mining techniques in both commercial and academic areas. Study of interested web users; provide valuable information for web designers to quickly respond to their individual needs and for the efficient organization of the website. Among the several approaches like Association rule mining, classification, clustering, to extract knowledge from user’s navigation data, this paper uses classification of log data to discover knowledge from web log files and extract knowledge mining from content and index page. In this paper, we present detection of Remote file inclusion Attack & create secure session; based on content page. At the end we proposed a model for Web Mining based secure Navigability Evaluation of Website. Key WordsWebsite Navigability, Web Usage Mining, Web Structure Mining, Remote file inclusion, Privacy.
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