IDEAS home Printed from https://ideas.repec.org/a/igg/jncr00/v3y2012i1p56-72.html
   My bibliography  Save this article

Symmetric Encryption Algorithm Inspired by Randomness and Non-Linearity of Immune Systems

Author

Listed:
  • Suriyani Ariffin

    (Universiti Teknologi MARA, Malaysia)

  • Ramlan Mahmod

    (Universiti Putra Malaysia, Malaysia)

  • Azmi Jaafar

    (Universiti Putra Malaysia, Malaysia)

  • Muhammad Rezal Kamel Ariffin

    (Universiti Putra Malaysia, Malaysia)

Abstract

In data encryption, the security of the algorithm is measured based on Shannon’s confusion and diffusion properties. This paper identifies the correspondences and highlights the essential computation elements on the basis of randomness and non-linearity of immune systems. These systems can be applied in symmetric encryption algorithm that satisfies the properties in designing a new symmetric encryption block cipher. The proposed symmetric encryption block cipher called the 3D-AES uses components of the Advanced Encryption Standard (AES) symmetric encryption block cipher and the new core components based on immune systems approaches. To ensure adequate high security of the systems in the world of information technology, the laboratory experiment results are presented and analyzed. They show that the randomness and non-linearity of the output in the 3D-AES symmetric encryption block cipher are comparable to the AES symmetric encryption block cipher.

Suggested Citation

  • Suriyani Ariffin & Ramlan Mahmod & Azmi Jaafar & Muhammad Rezal Kamel Ariffin, 2012. "Symmetric Encryption Algorithm Inspired by Randomness and Non-Linearity of Immune Systems," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 3(1), pages 56-72, January.
  • Handle: RePEc:igg:jncr00:v:3:y:2012:i:1:p:56-72
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jncr.2012010105
    Download Restriction: no
    ---><---

    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:igg:jncr00:v:3:y:2012:i:1:p:56-72. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.