EconPapers    
Economics at your fingertips  
 

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

Suriyani Ariffin, Ramlan Mahmod, Azmi Jaafar and Muhammad Rezal Kamel Ariffin
Additional contact information
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

International Journal of Natural Computing Research (IJNCR), 2012, vol. 3, issue 1, 56-72

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.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jncr.2012010105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jncr00:v:3:y:2012:i:1:p:56-72

Access Statistics for this article

International Journal of Natural Computing Research (IJNCR) is currently edited by Xuewen Xia

More articles in International Journal of Natural Computing Research (IJNCR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jncr00:v:3:y:2012:i:1:p:56-72