IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v9y2018i3d10.1007_s13198-014-0277-7.html
   My bibliography  Save this article

HIDS: A host based intrusion detection system for cloud computing environment

Author

Listed:
  • Prachi Deshpande

    (Indian Institute of Technology Roorkee)

  • S. C. Sharma

    (Indian Institute of Technology Roorkee)

  • S. K. Peddoju

    (Indian Institute of Technology Roorkee)

  • S. Junaid

    (Indian Institute of Technology Roorkee)

Abstract

The paper reports a host based intrusion detection model for Cloud computing environment along with its implementation and analysis. This model alerts the Cloud user against the malicious activities within the system by analyzing the system call traces. The method analyses only selective system call traces, the failed system call trace, rather than all. An early detection of intrusions with reduced computational burden can be possible with this feature. The reported model provides security as a service (SecaaS) in the infrastructure layer of the Cloud environment. Implementation result shows 96 % average intrusion detection sensitivity.

Suggested Citation

  • Prachi Deshpande & S. C. Sharma & S. K. Peddoju & S. Junaid, 2018. "HIDS: A host based intrusion detection system for cloud computing environment," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(3), pages 567-576, June.
  • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-014-0277-7
    DOI: 10.1007/s13198-014-0277-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-014-0277-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-014-0277-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sharfah Ratibah Tuan Mat & Mohd Faizal Ab Razak & Mohd Nizam Mohmad Kahar & Juliza Mohamad Arif & Salwana Mohamad & Ahmad Firdaus, 2021. "Towards a systematic description of the field using bibliometric analysis: malware evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2013-2055, March.
    2. Sohail Saif & Nahal Yasmin & Suparna Biswas, 2023. "Feature engineering based performance analysis of ML and DL algorithms for Botnet attack detection in IoMT," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 512-522, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-014-0277-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.