IDEAS home Printed from https://ideas.repec.org/h/spr/oprchp/978-3-319-42902-1_45.html
   My bibliography  Save this book chapter

Robust Optimization of IT Security Safeguards Using Standard Security Data

In: Operations Research Proceedings 2015

Author

Listed:
  • Andreas Schilling

    (Ruhr University Bochum)

Abstract

Finding an appropriate IT security strategy by implementing the right security safeguards is a challenging task. Many organizations try to address this problem by obtaining an IT security certificate from a recognized standards organization. However, in many cases the requirements of a standard are too extensive to be implemented, particularly by smaller organizations. But the knowledge contained in a security standard may still be used to improve security. Organizations that have an interest in security but not in a certificate, face the challenge of utilizing this knowledge and selecting appropriate safeguards from the given standard. To solve this problem, a new robust optimization model to determine an optimal safeguard configuration is proposed. By incorporating multiple threat scenarios, obtained solutions are robust against uncertain security threats.

Suggested Citation

  • Andreas Schilling, 2017. "Robust Optimization of IT Security Safeguards Using Standard Security Data," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 333-339, Springer.
  • Handle: RePEc:spr:oprchp:978-3-319-42902-1_45
    DOI: 10.1007/978-3-319-42902-1_45
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:oprchp:978-3-319-42902-1_45. 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.