Web Usage Data for Web Access Control (WUDWAC)
Selma Elsheikh · Lecture notes in computer science · 2008
The development and the widespread use of the World Wide Web have made electronic data storage and data distribution possible and convenient. However, this scenario has forced organizations in both private and public sectors to make their data available on the Web with restricted or limited use. These kinds of data include sensitive information that can be released only to specific requesters. The major objective of the proposed system, referred to as WUDWAC is to provide mechanisms for Web access control based on Web usage data from server-side logs. A set of algorithms is used for mining Web usage data which is extracted from Web Server logs and integrated with user login data. The mining process includes preprocessing tasks (for Web access transactions data preparation), association rules mining (to find the correlation among Web access transaction entries) and sequential pattern mining (to find the Web access pattern sequence for the access transaction entries).