Abstract
The subject of the paper is multi-agent architecture of and algorithmic basis for on-line situation assessment update based on asynchronous streams of input data received from multiple sources and having finite “life time”. A case study from computer network security area that is anomaly detection is used for demonstration.
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References
Cohen, W.: Fast efficient rule induction. In: Machine Learning: The 12th International Conference, Morgan Kaufmann, San Francisco, CA (1995)
Cole, E.: Hackers Beware. New Riders Publishing (2002)
Gorodetsky, V., Karsaev, O.: Mining of Data with Missing Values: A Lattice-based Approach. In: International Workshop on the Foundation of Data Mining and Discovery, Japan, pp. 151–156 (2002)
Gorodetsky, V., Karsaev, O.: Algorithm of Rule Extraction from Learning Data. In: Proceedings of the 8-th International Conference Expert Systems & Artificial Intelligence (EXPERSYS-1996), pp. 133–138 (1996)
Michalski, R.: A Theory and Methodology of Inductive Learning. In: Carbonel, J.G., Michalski, R.S., Mitchel, T.M. (eds.) Machine Learning, Tigoda, Palo Alto, vol. 1, pp. 83–134 (1983)
Northcut,t, S., McLachlan, D., Novak, J.: Network Intrusion Detection: An Analyst’s Handbook. New Riders Publishing (2000)
Salerno, J., Hinman, M., Boulware, D.: Building a Framework for Situation Assessment. In: 7th International Conference on Information Fusion. Stockholm, Sweden (to appear, 2004)
Scambray, J., McClure, S.: Hacking Exposed Windows 2000: Network Security Secrets. McGraw-Hill, New York (2001)
Scambray, J., McClure, S., Kurtz, G.: Hacking Exposed. McGraw-Hill, New York (2000)
Than, C., Ly, G.S., Venkatesh, S., Pearce, A.: Multiple Hypotheses Situation Assessment. In: Proceedings of The 6th International Conference on Information Fusion, Australia, pp. 972–978 (2004)
Vapnik, V.: Statistical Learning Theory. J.Willey and Sons, New York (1998)
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Gorodetsky, V., Karsaev, O., Samoilov, V. (2004). On-Line Update of Situation Assessment Based on Asynchronous Data Streams. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_154
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DOI: https://doi.org/10.1007/978-3-540-30132-5_154
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
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