It is required to realize practically useful masquerade detection for secure environments. In this paper, we propose a new masquerade detection method, which is based on support vector machine and using co-occurrence matrix. Our method can be performed with low cost and achieve good detection rate. We also consider online update for adapting to changes of modeled users' behaviors. We report some experimental results showing our method would be able to work well in real situations. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Chen, L., & Aritsugi, M. (2006). An SVM-based masquerade detection method with online update using co-occurrence matrix. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4064 LNCS, pp. 37–53). Springer Verlag. https://doi.org/10.1007/11790754_3
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