In this paper, we propose a new intrusion detection system: MMIDS (Multi-step Multi-class Intrusion Detection System), which alleviates some drawbacks associated with misuse detection and anomaly detection. The MMIDS consists of a hierarchical structure of one-class SVM, novel multi-class SVM, and incremental clustering algorithm: Puzzy-ART. It is able to detect novel attacks, to give detail informations of attack types, to provide economic system maintenance, and to provide incremental update and extension with a system. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Lee, H., Song, J., & Park, D. (2005). Intrusion detection system based on multi-class SVM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3642 LNAI, pp. 511–519). Springer Verlag. https://doi.org/10.1007/11548706_54
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