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Part of the book series: Advances in Information Security ((ADIS,volume 31))

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Abstract

Data Mining Techniques have been successfully applied in many different fields including marketing, manufacturing, fraud detection and network management. Over the past years there is a lot of interest in security technologies such as intrusion detection, cryptography, authentication and firewalls. This paper discusses the application of Data Mining techniques to computer security. Conclusions are drawn and directions for future research are suggested.

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© 2007 Springer Science+Business Media, LLC

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Singhal, A. (2007). Data Mining for Intrusion Detection. In: Data Warehousing and Data Mining Techniques for Cyber Security. Advances in Information Security, vol 31. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-47653-7_4

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  • DOI: https://doi.org/10.1007/978-0-387-47653-7_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-26409-7

  • Online ISBN: 978-0-387-47653-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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