THE ALGORITHM FOR ENCRYPTION OF GRAPHIC INFORMATION BASED ON CHAOTIC MAP AND GALOIS FIELD TRANSFORM.

The current stage of development of information technologies is characterized by a significant increase in the use of graphic data, i.e., digital video and digital images combined with the widespread use of resource-constrained platforms, such as IoT and IoBT devices, mobile devices, as well as embedded devices. These circumstances condition the importance of the development of algorithms for encrypting graphic information, which would ensure high security for the least number of computational operations. Today, dynamic chaos theory is most often used for the development of such cryptographic algorithms. However, the optimal structure of the cryptographic algorithm for image encryption has not yet been found. In this paper, we propose a combination of the advantages of traditional SP networks and a gamma generator based on a Hyper-Chaotic Modified Robust Logistic Map to build an effective image encryption algorithm, capable of providing a high level of security. The proposed cryptographic algorithm uses high-quality S-boxes based on the Galois field transform, as well as P-boxes based on permutations generated using the Nyberg construction, while segmentation and further processing of three-dimensional image blocks are used, which allows for an increase in the diffusion effect. Numerous tests of the stochastic quality of cryptograms obtained using the developed cryptographic algorithm, as well as their comparison with the results obtained for the AES cryptographic algorithm, made it possible to establish that the developed cryptographic algorithm provides a sufficient level of information protection while requiring only two rounds. Therefore, the developed cryptographic algorithm for encrypting graphic information can be recommended for practical use, in particular, on resource-constrained platforms. [ABSTRACT FROM AUTHOR]