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Image Encryption Algorithm for Grayscale Images Using 3-D Chaotic System

Author

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  • Joseph H. Yakubu

    (Department of Computer Science, Faculty of Physical Sciences, University of Maiduguri, Nigeria.)

  • Yusuf M. Malgwi

    (Department of Computer Science, Modibbo Adama University, Yola, Adamawa State, Nigeria.)

  • Emmanuel P. Musa

    (Department of Computer Science, Ramat Polytechnic Maiduguri. Borno State, Nigeria.)

Abstract

Online attacks on sensitive information such as medical imaging, military imaging, architectural imaging, industrial imaging and many more of its kind is on the increase due to advancement in technology. Therefore, the search for a stronger method that can stand against these attacks either on transit or on storage is also on the increase. Studies have shown that 3-D continuous-time chaotic systems are found to contained in abundance chaotic structures and complex dynamical behaviour which could improve the quality and security of a cryptosystem and hence the need to explore the Rössler system. In this paper, a grayscale image encryption algorithm using 3-D Rössler chaotic system is proposed. The proposed algorithm used the rich chaotic properties of the Rössler system to ensured that both confusion and diffusion properties for a secure cipher is achieved. A standard test image namely “cameraman gray 256.tif†was used in testing the proposed scheme. Security analysis such as the Histogram Uniformity Analysis (HUA), Correlation Coefficient Analysis (CCA), Number of Pixels Change Rate (NPCR), and the Unified Averaged Changing Intensity (UACI) were carried out on the proposed scheme. Results obtained from the analysis revealed that the proposed scheme is very effective and can withstand any statistical, differential or brute-force attack.

Suggested Citation

  • Joseph H. Yakubu & Yusuf M. Malgwi & Emmanuel P. Musa, 2025. "Image Encryption Algorithm for Grayscale Images Using 3-D Chaotic System," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(2), pages 213-223, February.
  • Handle: RePEc:bjf:journl:v:10:y:2025:i:2:p:213-223
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