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Audit File Reduction Using N-Gram Models

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Financial Cryptography and Data Security (FC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 3570))

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Abstract

While some accurate, current Intrusion Detection Systems (IDS’s) get rapidly overwhelmed with contemporary information workload [1,2]. This problem partly dwells in the number of repetitive spurious information that IDS’s unnecessarily analyse. Using this observation, we propose a methodology which can be used to significantly remove such spurious information and thus alleviate intrusion detection.

This research is supported by three research grants CONACyT 33337-A, CONACyT-DLR J200.324/2003 and ITESM CCEM-0302-05.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Godínez, F., Hutter, D., Monroy, R. (2005). Audit File Reduction Using N-Gram Models. In: Patrick, A.S., Yung, M. (eds) Financial Cryptography and Data Security. FC 2005. Lecture Notes in Computer Science, vol 3570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11507840_30

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  • DOI: https://doi.org/10.1007/11507840_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26656-3

  • Online ISBN: 978-3-540-31680-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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