Title
Image Encryption and Decryption Schemes Using Linear and Quadratic Fractal Algorithms and Their Systems
Author
Anatoliy Kovalchuk
Department of Publishing Information Technologies, Lviv Polytechnic National University
Author
Ivan Izonin
Department of Publishing Information Technologies, Lviv Polytechnic National University
... show all
Abstract
Image protection and organizing the associated processes is based on the assumption that an image is a stochastic signal. This results in the transition of the classic encryption methods into the image perspective. However the image is some specific signal that, in addition to the typical informativeness (informative data), also involves visual informativeness. The visual informativeness implies additional and new challenges for the issue of protection. As it involves the highly sophisticated modern image processing techniques, this informativeness enables unauthorized access. In fact, the organization of the attack on an encrypted image is possible in two ways: through the traditional hacking of encryption methods or through the methods of visual image processing (filtering methods, contour separation, etc.). Although the methods mentioned above do not fully reproduce the encrypted image, they can provide an opportunity to obtain some information from the image. In this regard, the encryption methods, when used in images, have another task - the complete noise of the encrypted image. This is required to avoid the use of visual imaging techniques. The paper describes the use of RSA algorithm elements in fractal quadratic transformations and fractal transform systems for encrypting / decrypting grayscale images. The values of pixel intensities in the matrix of such images are known to be in the range from 0 to 255. Noise functions in both methods were linear.
Keywords
encryptiondecryptionfractal algorithmcontourimagelinear fractalquadratic fractalfractal algorithms system
Object type
Language
English [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:1141860
Appeared in
Title
CEUR Workshop Proceedings
Volume
2533
ISSN
1613-0073
Issued
2019
Publisher
CEUR-WS
Date issued
2019
Access rights
Rights statement
© 2019 for this paper by its authors

Download

University of Vienna | Universitätsring 1 | 1010 Vienna | T +43-1-4277-0