An improved image encryption technique using diffusion method associated with hill cipher and chaotic logistic map

Autor: Kodanda Dhar Sa, Monalisa Nayak, Dillip Dash, Devika
Rok vydání: 2017
Předmět:
Zdroj: 2017 2nd International Conference on Man and Machine Interfacing (MAMI).
DOI: 10.1109/mami.2017.8307896
Popis: In this world of multimedia confidentiality, integrity and authenticity of images are the basic requirements. A new algorithm of cryptanalysis for RGB images is proposed in this paper, where a combination of hill cipher and chaotic logistic maps is done to increase the security of images. The algorithm is framed for the whole range to select keys for cryptanalysis of RGB images. Computer simulation has been done with three standard images and achieved outcomes have been validated to examine the capability of the proposed technique. Essential examination such as key space, key sensitivity, NPCR, UACI, MSE and PSNR have been done. The outcomes of several research and computer simulation verify that the proposed algorithm is suitable for pragmatic image encryption and offers high security.
Databáze: OpenAIRE