Abstract
We have proposed automated signature generation engine for unknown attack detection. For this proposal, we have studied signature engine divided into header field and payload field. Especially, in payload field, we proposed signature generation agent which can be presented by using Suffix tree, and Longest Common Subsequence(LCSeq) among them is used to generate new signature automatically. Through the test, Snort signature and generated signature by using Longest Common Subsequence(LCSeq) are compared and evaluated.
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Kim, S., Lee, G., Kim, B. (2007). The Design and Testing of Automated Signature Generation Engine for Worms Detection. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_101
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DOI: https://doi.org/10.1007/978-3-540-72830-6_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72829-0
Online ISBN: 978-3-540-72830-6
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