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A Stochastic Modelling Approach for the Performance Analysis of an Intrusion Detection System

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Proceedings of the International Conference on Soft Computing Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 398))

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Abstract

In this paper, an architecture of an intrusion detection system (IDS) based on a two-server queueing model is considered and studied. By using an integral equation approach, an explicit analytical solution is found for the steady-state probabilities of the states of the IDS. Some of the performance measures of the IDS such as the throughput, queueing delay, system utilization and packet loss are also obtained.

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Acknowledgments

The authors would like to thank S. Sibi Chakkaravarthy, Research Scholar, Department of Computer Science and Engineering, Anna University (MIT Campus), Chennai 600044, India and S. Udayabaskaran, Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India for their help in carrying out the computations.

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Correspondence to Ethala Kamalanaban .

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Kamalanaban, E., Seshadri, R. (2016). A Stochastic Modelling Approach for the Performance Analysis of an Intrusion Detection System. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_63

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  • DOI: https://doi.org/10.1007/978-81-322-2674-1_63

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2672-7

  • Online ISBN: 978-81-322-2674-1

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