Computer security has become a major problem in our society. In particular, computer network security is concerned with preventing the intrusion of an unauthorized person into a network of computers. An intrusion detection system (IDS) is a tool to monitor the network traffic and users' activity with the aim of distinguishing between hostile and non-hostile traffic. Snort is an IDS available under GPL, which allows pattern search. This paper presents a new anomaly pre-processor that extends the functionality of Snort IDS, making it a hybrid IDS. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Gómez, J., Gil, C., Padilla, N., Baños, R., & Jiménez, C. (2009). Design of a snort-based hybrid intrusion detection system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 515–522). https://doi.org/10.1007/978-3-642-02481-8_75
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