Intrusion Detection has been investigated for many years and the field reached the maturity. Nevertheless, there are still important challenges, e.g., how an Intrusion Detection System (IDS) can detect distributed attacks. To tackle this problem, we propose a novel distributed IDS, based on the desirable features provided by the mobile agent methodology and the high accuracy offered by the data mining techniques. © 2010 Springer-Verlag.
CITATION STYLE
Brahmi, I., Ben Yahia, S., & Poncelet, P. (2010). MAD-IDS: Novel intrusion detection system using mobile agents and data mining approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6122, pp. 73–76). Springer Verlag. https://doi.org/10.1007/978-3-642-13601-6_9
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