Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/8495
Title: 3D Chaos Technique for Images Encryption
Authors: Shakir, Daniah
Dawood, Ali
Keywords: Encryption algorithms
the methods of cryptography
Lorenz chaotic system
encrypted pixels
Issue Date: 1-Jan-2022
Publisher: University of Anbar
Abstract: The development in the technological age in which we live has made many important data transmitted electronically from one device to another and in every place, and many obstacles may block the path of this information, making it vulnerable and easy to obtain. Encryption algorithms existed for a long time, and the data used was limited to texts only, while the multimedia data was neglected for a long time. The focus was on encoding and decoding texts using various algorithms, and many research and studies go into this aspect of what was enriched. As for the encryption algorithms for images, they are different and focus on images encrypting and hiding data in the image by changing the location of the pixels in the image and other methods. Chaotic graph systems, on the other hand, are one of the most recent techniques utilized to encrypt image data based on the methods of cryptography. In this thesis, we present a method for image encrypted and decrypted electronically using Lorenz chaotic system, the supposed algorithm was developed by using the three equations of Lorenz system, before that, the image pixels are destroyed using reversible shifting and rotating processes in order to increase the randomness of the encrypted pixels and thus the difficulty of cracking the cipher. The average values of the supposed technique gave the following results: The average entropy calculation was (7.285) before image encryption and (7.9974) after image encryption with average NPCR of (99.65%) and UACI was (30.07%) this confirms that the proposed method is reliable and applicable. Moreover, which are the best outcomes when compared to other similar works.
URI: http://localhost:8080/xmlui/handle/123456789/8495
Appears in Collections:قسم علوم الحاسبات

Files in This Item:
File Description SizeFormat 
دانية عبدالقهار.pdf22.42 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.