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Abstract: An intrusion detection system framework using mobile agents is a layeredframework mechanism designed to support heterogeneous network environments toidentify intruders at its best. Traditional computer misuse detectiontechniques can identify known attacks efficiently, but perform very poorly inother cases. Anomaly detection has the potential to detect unknown attacks;however, it is a very challenging task since its aim is to detect unknownattacks without any priori knowledge about specific intrusions. This technologyis still at its early stage. The objective of this paper is that the system candetect anomalous user activity. Existing research in this area focuses eitheron user activity or on program operation but not on both simultaneously. Inthis paper, an attempt to look at both concurrently is presented. Based on anintrusion detection framework 1, a novel user anomaly detection system hasbeen implemented and conducted several intrusion detection experiments in asimulated environment by analyzing user activity and program operationactivities. The proposed framework is a layered framework, which is designed tosatisfy the core purpose of IDS, and allows detecting the intrusion as quicklyas possible with available data using mobile agents. This framework was mainlydesigned to provide security for the network using mobile agent mechanisms toadd mobility features to monitor the user processes from differentcomputational systems. The experimental results have shown that the system candetect anomalous user activity effectively.



Autor: N.Jaisankar 1, R.Saravanan 1, K. Durai Swamy 2, 1VIT University, India,2Dean, K.S.R.C.T., Tiruchengodu, India

Fuente: https://arxiv.org/







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