Abstract
With the rapid development of Internet and network technologies, intrusion detection system (IDS) is expected to be more intelligent. Generally, IDS in current use can rarely meet actual requirements in performance, accuracy and distributed characteristics. In this paper, we present a distributed network intrusion detection system, in which an improved outlier mining method on clustering is introduced. Experimental results prove that both traditional attacks like SYN flooding, and distributed attacks such as DDoS, can be detected effectively with visible accuracy rate and reliability.
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References
Stefan, A.: Intrusion Detection System: A Survey and Taxonomy (February 2006), http://www.mnlab.cs.depaul.edu/seminar/spr2003/IDSSurvey.pdf
Heckerman, D.: Bayesian Networks for Data Mining 1, 79–119 (1997)
Vaseghi, S.V.: State Duration Modeling in Hidden Markov Models 41, 32–41 (1995)
Vapnik, V.N.: Statistical Learning Theory (1998)
Dorothy Denning, E.: An intrusion-detection model. IEEE Transactions on Software Engineering 13, 222–232 (1987)
Berges, C.J.C.: A tutorial on Support Vector Machines for Pattern recognition 2, 1–47 (1998)
Lippmann, R., Fried, D., Graf, I., Haines, J., Kendall, K., McClung, D.: Evaluating intrusion detection systems: the 1998 darpa off-line intrusion detection evaluation, 12–26 (2000)
Eskin, E., Arnold, A., Prerau, M.J.: A Geometric framework for unsupervised anomaly detection: Detecting intrusion in unlabeled data (2002)
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© 2013 Springer-Verlag Berlin Heidelberg
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Da, W., Ting, H.S. (2013). Distributed Intrusion Detection Based on Outlier Mining. In: Yang, G. (eds) Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Advances in Intelligent Systems and Computing, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31698-2_49
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DOI: https://doi.org/10.1007/978-3-642-31698-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31697-5
Online ISBN: 978-3-642-31698-2
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