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A Survey of Machine Learning Algorithms and Their Application in Information Security

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Guide to Vulnerability Analysis for Computer Networks and Systems

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

In this survey, we touch on the breadth of applications of machine learning to problems in information security. A wide variety of machine learning techniques are introduced, and a sample of the applications of each to security-related problems is briefly discussed.

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Notes

  1. 1.

    Observations are invariably known as “emissions” in a PHMM.

  2. 2.

    These VQ codebook vectors are not to be confused with a codebook cipher [82].

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  1. San Jose State University, San Jose, California, USA

    Mark Stamp

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  1. Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK

    Simon Parkinson

  2. Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK

    Andrew Crampton

  3. Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK

    Richard Hill

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Stamp, M. (2018). A Survey of Machine Learning Algorithms and Their Application in Information Security. In: Parkinson, S., Crampton, A., Hill, R. (eds) Guide to Vulnerability Analysis for Computer Networks and Systems. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-92624-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92623-0

  • Online ISBN: 978-3-319-92624-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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