Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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A Hierarchical Bilateral-Diffusion Architecture for Color Image Encryption

  • Wu, Menglong (School of Information Science and Technology, North China University of Technology) ;
  • Li, Yan (School of Information Science and Technology, North China University of Technology) ;
  • Liu, Wenkai (School of Information Science and Technology, North China University of Technology)
  • Received : 2020.10.21
  • Accepted : 2021.12.26
  • Published : 2022.02.28
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Abstract

During the last decade, the security of digital images has received considerable attention in various multimedia transmission schemes. However, many current cryptosystems tend to adopt a single-layer permutation or diffusion algorithm, resulting in inadequate security. A hierarchical bilateral diffusion architecture for color image encryption is proposed in response to this issue, based on a hyperchaotic system and DNA sequence operation. Primarily, two hyperchaotic systems are adopted and combined with cipher matrixes generation algorithm to overcome exhaustive attacks. Further, the proposed architecture involves designing pixelpermutation, pixel-diffusion, and DNA (deoxyribonucleic acid) based block-diffusion algorithm, considering system security and transmission efficiency. The pixel-permutation aims to reduce the correlation of adjacent pixels and provide excellent initial conditions for subsequent diffusion procedures, while the diffusion architecture confuses the image matrix in a bilateral direction with ultra-low power consumption. The proposed system achieves preferable number of pixel change rate (NPCR) and unified average changing intensity (UACI) of 99.61% and 33.46%, and a lower encryption time of 3.30 seconds, which performs better than some current image encryption algorithms. The simulated results and security analysis demonstrate that the proposed mechanism can resist various potential attacks with comparatively low computational time consumption.

Keywords

Acknowledgement

This paper is funded by Beijing Natural Science Foundation - Haidian Original Innovation Joint Fund Project (No. L182039).

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