Cryptanalysis and Improvement on an Image Encryption Algorithm Design Using a Pseudo Random generator
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Date
2020
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Faculty of Mathematics and Computer Science Computer Science department -
Abstract
In the worldwide, the people exchange a massive data through IP network (wireless or wirefire). Image is mostly found massively in the traffic network as logo, human picture, medical image, satellite image and so on. Image security is a major issue in traffic networks since image travel over the naturally exposed unknown channel where malicious attackers may get access to critical information. To deal with this issue, the devices are mostly making some modification on the data to hide or protect against the man-in-the-middle attack. However, existing encrypted algorithms, such as AES and DES are not sufficient for image encryption due to the massive data capacity and high correlation between pixels in image files. This work proposes a data security approach with less computational and response times based on a modified version of pseudo random function. The pseudo random function has been applied on the bit plan instead of pixel values in which to make it more secure. The proposed approach has been assessed in terms entropy, correlation. Furthermore, it has also been analyzed in terms of encryption/decryption time, computation time, and key generation time for different sizes of data. The comparative analysis with the state-of-the-art encryption algorithms shows that the proposed approach performs better in most of the case
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Keywords
Cryptanalysis : Improvement : Image Encryption Algorithm Design Using a Pseudo Random generator