A Self Adaptive Learning Approach for Optimum Path Evaluation of Process for Forensic use to Finding Uniqueness
Abstract
One approach to protected systems is from first to last the examination of audit trails or logs. An audit trail is a evidence of all procedures that take place in a system and across a network, it provides a outline of user/system events so that safety measures events can be associated to the actions of a specific individual or system element. In the optimum path evaluation of a process working with the audit log of the system generated by our data format, a different kinds of processes accessed during the different user session .our proposed work is based on the concept of forensic activities and the process mining, where we introduce a new process analysis method by which we discover what the users next application.
Keywords - Audit Logs, reference graph building,forensic,optimum path evaluation, process mining.
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