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Taxonomy and Proposed Architecture of Intrusion Detection and Prevention Systems for Cloud Computing

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Cyberspace Safety and Security (CSS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7672))

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Abstract

The distributed and open structure of cloud computing and services becomes an attractive target for potential cyber-attacks by intruders. The traditional Intrusion Detection and Prevention Systems (IDPS) are deemed largely inefficient to be deployed in cloud computing environments due to their openness, dynamicity and virtualization in offered services. This paper surveys and explores the possible solutions to detect and prevent intrusions in cloud computing systems by providing a comprehensive taxonomy of existing IDPS. It discusses the key features of IDPS that are challenging and crucial for choosing the right security measures for designing an IDPS. The paper further reviews the current state of the art of developed IDPSs for cloud computing which uses advanced techniques in overcoming the challenges imposed by cloud computing requirements for more resilient, effective and efficient IDPSs, abbreviated as CIPDS.

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Author information

Authors and Affiliations

  1. School of Computer Science, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor D.E., Malaysia

    Ahmed Patel, Mona Taghavi & Kaveh Bakhtiyari

  2. School of Computing and Information Systems, Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, KT1 2EE, United Kingdom

    Ahmed Patel

  3. Vieira Computer Networks and Security Laboratory (LARCES), State University of Ceará (UECE), Fortaleza, Ceará, Brasil

    Joaquim Celestino Júnior

Authors
  1. Ahmed Patel
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  2. Mona Taghavi
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  3. Kaveh Bakhtiyari
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  4. Joaquim Celestino Júnior
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Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Yang Xiang  & Wanlei Zhou  & 

  2. Computer Science Department, ETSI Informatica, University of Malaga, Campus de Teatinos, 29170, Malaga, Spain

    Javier Lopez

  3. Ming Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Ave., 90089-2564, Los Angeles, CA, USA

    C.-C. Jay Kuo

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© 2012 Springer-Verlag Berlin Heidelberg

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Patel, A., Taghavi, M., Bakhtiyari, K., Júnior, J.C. (2012). Taxonomy and Proposed Architecture of Intrusion Detection and Prevention Systems for Cloud Computing. In: Xiang, Y., Lopez, J., Kuo, CC.J., Zhou, W. (eds) Cyberspace Safety and Security. CSS 2012. Lecture Notes in Computer Science, vol 7672. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35362-8_33

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  • DOI: https://doi.org/10.1007/978-3-642-35362-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35361-1

  • Online ISBN: 978-3-642-35362-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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