In this paper, a new image encryption technique is proposed based on the integration of shifted image blocks and basic AES, where the shifted algorithm technique is used to divide the image into blocks. Each block consists of number of pixels, and these blocks are shuffled by using a shift technique that moves the rows and columns of the original image in such a way to produce a shifted image. This shifted image is then used as an input image to the AES algorithm to encrypt the pixels of the shifted image. In order to evaluate the performance, the proposed integration technique and AES algorithm were measured through a series of tests. These tests included a histogram analysis, information entropy, correlation analysis, differential analysis. Experimental results showed that the new integration technique has satisfactory security and is more efficient than using the AES algorithm alone without the shifting algorithm which makes it a good technique for the encryption of multimedia data. The results showed that the histogram of an encrypted image produced a uniform distribution, which is very different from the histogram of the plain image, and the correlation among image pixels was significantly decreased by using the integration technique and a higher entropy was achieved.
-Image scrambling is a useful approach to protect image data by confusing the image and thus prevent it from being misused. The issues concerning the relationship among the adjacent pixels of the scrambled image, the weakness of visual leakage, and similar histogram plots being produced, all affect the image scrambling process. This paper is aimed at determining the iteration level that is extracted from a secure key and a key mask for building a scrambling table which is used in the scrambling processes and modifying the pixel colour values. The technique begins by modified pixel colour values. These pixel colour values are then scrambled by reduce or the increase (modified) the pixel colour values in the image between the range of the colour (0 to 255) by using a vertical and horizontal scrambling method based on a scrambling table. The experimental results of the paper show that the pixel colour values scrambling technique has reduced the relationship among the image elements. This occurs because the entropy value of the scrambled images has increased and the correlation value is lower. Moreover, the scrambling degree of the scrambling technique has larger values for the scrambled image. Subsequently, the pixel colour value modification in the technique helps to confuse and amend the pixel colour values of the scrambled image to produce a different histogram plot when compared with plots made from the original images.
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