WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 15, 2016
An Investigation of the Use of MJEA in Image Encryption
Author:
Abstract: In today’s digital world, electronic communication means are susceptible to attacks and eavesdropping, where security problems such as modification and forgery have reached critical extents. Encryption has been used for securing data communication and it is considered as one of the best tools to help people to protect their sensitive information from cryptanalysts when it is stored or transmitted via insecure communication channels. Most of the encryption algorithms available are generally used for text data and not suitable for multimedia data. Multimedia data contains different types of data that includes text, audio, video, graphic, and images. With the increasing use of multimedia data over the Internet, here comes a demand of securing multimedia data. The main goal of this work is to investigate the use of our encryption algorithm (MJEA) to be a new approach for image encryption. MJEA will try to dissipate the high correlation among pixels and increase the entropy value by dividing the image into blocks and shuffles their positions. In this research I am going to use the correlation, histograms and entropy to measure the security level of the encrypted images. Experimental results show the possibility of applying MJEA for digital image encryption. MJEA was able to achieve high embedding capacity and high quality of the encrypted image. A comparison has been conducted between MJEA and other block ciphers like RC5 and RC6 for encrypting Lena image by considering correlation coefficients. From the obtained results, I noticed that MJEA algorithm achieved minimum correlation coefficient and maximum encryption quality. A detailed description of the design process together with results and analyses are given to define the proposed technique precisely.
Search Articles
Keywords: Image encryption, Image Correlation, Image Entropy, Information Security, Encryption Algorithm
Pages: 24-33
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 15, 2016, Art. #3