Hybridization of ICA based on arnold cat map using reversible cellular automata for faster cryptographic speed
Sanjeev Sharma, Navleen Kaur · 2017
Image encryption plays a important role to assure classified transmission and capacity of image over internet. Security of the multimedia data including image and video is one of the basic requirements for the telecommunications and computer networks. It is based on modifying the mixing matrix in Independent Component Analysis (ICA) using the chaotic Arnold's Cat Map (ACM) for encryption. The study indicates that the ICA and ACM has the better results but it can be improved further by utilizing optimistic decision making. This paper mainly focuses on The research of image cryptography based on independent component analysis based arnold cat cryptography still has many problems, but independent component analysis based arnold cat cryptography have many advantages as compared to other encryption algorithms because of the vast parallelism, exceptional energy efficiency, and extra information density inherent in independent component analysis based arnold cat map. This research work improves the performance of independent component analysis based Arnold cat based image cryptography technique using reversible cellular automata. The primary objective is to improve the computational speed. To propose hybrid independent component analysis based on arnold cat-map and permutation with reversible cellular automata based image encryption technique, to improve the encryption speed further.