Nowadays, as a security infrastructure the Intrusion Detection System (IDS) have evolved significantly since their inception. Generally, most existing IDSs are plugged with various drawbacks, e.g., excessive generation of false alerts, low efficiency, etc., especially when they face distributed attacks. In this respect, various new intelligent techniques have been used to improve the intrusion detection process. This paper introduces a novel intelligent IDS, which integrates the desirable features provided by the multi-agents methodology with the benefits of semantic relations. Carried out experiments showed the efficiency of our distributed IDS, that sharply outperforms other systems over real traffic and a set of simulated attacks.
CITATION STYLE
Brahmi, I., & Brahmi, H. (2015). OMAIDS: A multi-agents intrusion detection system based ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9375 LNCS, pp. 156–163). Springer Verlag. https://doi.org/10.1007/978-3-319-24834-9_19
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