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ACMW: Access Control Model on Web Environment

A Web includes implementations of complex business processes. A key challenge in Web services security is to design access control models that can effectively meet the unique security challenges posed by the Web services environment. Although many access control models have been proposed, there is no much work has been done for finding efficient techniques for performing access control. This paper attempts to propose Web access control model which control the Web access based on the user access behavior by tracking the Web access history. The active user's access pattern is matched with user access data discovered from user access history, based on Web usage data in Web server log data using Association rules mining and prefix-projected sequential pattern mining algorithms.