Thispaper proposes the learning phase for enhancing the learning phase of intrusion prevention systems in heterogeneous environment. We represent accuracy and precision as means to identify and recognize suspicious threats through new model examination alarms and assessment that match with an event database. The aims of this work are: firstly topresent a comprehensive analysis mapping problem in terms of intrusion prevention, and secondly toprovide a promising model of examining new merging suspicious threats. Throughout this paper, the proposed a model are implemented to evaluating system security in order to help security officers to be more aware of their network status.
Authors: Deris Stiawan, Ahmad Fali Oklilas, Ahmad Heryanto, Tri Wanda Septian, Rahmat Budiarto
Publish Year: 2015
