Abstract
We present a neural approach to worm detection designed as a part of a multi-agent system intended to manage IP networks. The efficiency of virus recognition is about 95%.
Cite
CITATION STYLE
APA
Bielecki, A., & Hajto, P. (2004). A neural-based agent for IP traffic scanning and worm detection. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 816–822). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_126
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