IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v8y2017i3d10.1007_s13198-016-0424-4.html
   My bibliography  Save this article

The model of information security risk assessment based on advanced evidence theory

Author

Listed:
  • Hou Qing

    (Guizhou University)

  • Xie Qingsheng

    (Guizhou University)

  • Li Shaobo

    (Guizhou University)

Abstract

With regard to nonlinearity and uncertainty in information security risk assessment, and on the foundation of hierarchical structure of information security risk assessment, the paper proposed a model of information security risk assessment based on advanced D–S evidence theory. In terms of the extent of danger of various risk factors in the system, and through the advanced Dempster combination rule, the paper obtained risk values of the system by combining the assignment of basic probability of various risk factors in the index system. The simulative results proved that the method herein was free from disadvantages of existing assessment methods that had great randomness and fuzzy conclusion, and was more convergent and self-adaptive.

Suggested Citation

  • Hou Qing & Xie Qingsheng & Li Shaobo, 2017. "The model of information security risk assessment based on advanced evidence theory," 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. 8(3), pages 2030-2035, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:3:d:10.1007_s13198-016-0424-4
    DOI: 10.1007/s13198-016-0424-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0424-4
    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/s13198-016-0424-4?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. Qilei Wang, 2022. "Research on public security risk assessment of emergencies based on scene coupling driven," 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. 13(1), pages 1-10, February.
    2. Hadef Hefaidh & Djebabra Mébarek, 2020. "A conceptual framework for risk matrix capitalization," 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. 11(3), pages 755-764, June.

    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:8:y:2017:i:3:d:10.1007_s13198-016-0424-4. 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.