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Image Processing and Communications Challenges 5 pp 391–398Cite as

Machine Learning Techniques for Cyber Attacks Detection

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

Summary

The increased usage of cloud services, growing number of users, changes in network infrastructure that connect devices running mobile operating systems, and constantly evolving network technology cause novel challenges for cyber security that have never been foreseen before. As a result, to counter arising threats, network security mechanisms, sensors and protection schemes have also to evolve in order to address the needs and problems of nowadays users.

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Author information

Authors and Affiliations

  1. Institute of Telecommunications, UT&LS Bydgoszcz, Bydgoszcz, Poland

    Rafał Kozik & Michał Choraś

  2. ITTI Ltd., Poznań, Poland

    Michał Choraś

Authors
  1. Rafał Kozik
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  2. Michał Choraś
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Editor information

Editors and Affiliations

  1. Life Sciences, Institute of Telecommunications, University of Technology, ul.S.Kaliskiego 7, Bydgoszcz, 85791, Poland

    Ryszard S. Choras

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© 2014 Springer International Publishing Switzerland

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Kozik, R., Choraś, M. (2014). Machine Learning Techniques for Cyber Attacks Detection. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_44

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_44

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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