Title: Modification of AES using genetic algorithms for high-definition image encryption

Authors: Sayantani Basu; Marimuthu Karuppiah; S. Rajkumar; R. Niranchana

Addresses: School of Computer Science and Engineering, VIT University, Vellore-632014, Tamilnadu, India ' School of Computer Science and Engineering, VIT University, Vellore-632014, Tamilnadu, India ' School of Computer Science and Engineering, VIT University, Vellore-632014, Tamilnadu, India ' School of Computer Science and Engineering, VIT University, Vellore-632014, Tamilnadu, India

Abstract: Genetic algorithms (GAs) have proved to be a powerful tool in cryptography. The standard advanced standard encryption (AES) algorithm incurs high computation costs and has problems in pattern formation when applied to image encryption. It is also prone to the differential and side channel attacks. In this paper, a modification of AES has been proposed for high-definition (HD) Image Encryption that uses a genetic approach for the S - Box Generation and Key Expansion processes. S - Boxes have been evolved to have high non-linearity and low transparency. Also, in the key generation, the process has been randomised by using only genetic operators. As a result of applying genetic modifications to AES, the proposed algorithm has been found to be more secure against the differential and side-channel attacks and shows reduced pattern appearance when applied for encryption of HD images.

Keywords: AES; advanced standard encryption; GA; image encryption; s-box; key generation.

DOI: 10.1504/IJISTA.2018.095106

International Journal of Intelligent Systems Technologies and Applications, 2018 Vol.17 No.4, pp.452 - 466

Received: 05 Jul 2017
Accepted: 30 Aug 2017

Published online: 01 Oct 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article