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An Image Encryption Technique Based On Discrete Wavelet Transform And Fractional Chaotic Cryptovirology

Author

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  • WALAA M. ABD-ELHAFIEZ

    (College of Computer Science & Information Technology, Jazan University, Jazan, Kingdom of Saudi Arabia†Computer Science Department, Faculty of Computers and Artificial Intelligence, Sohag University, Sohag, Egypt)

  • MAHMOUD ABDEL-ATY

    (��Computer Science Department, Faculty of Computers and Artificial Intelligence, Sohag University, Sohag, Egypt)

  • XIAO-JUN YANG

    (��State Key Laboratory for Geo-Mechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, P. R. China§King Abdulaziz University, P. O. Box 80257, Jeddah 21589, Saudi Arabia)

  • AWATEF BALOBAID

    (College of Computer Science & Information Technology, Jazan University, Jazan, Kingdom of Saudi Arabia)

Abstract

In this paper, we present a new encryption method based on discrete wavelet transform (DWT). This method provides a number of advantages as a pseudo randomness and sensitivity due to the variation of the initial values. We start by decomposing the image with spatial reconstruction by DWT, followed by preformation by fractional chaotic cryptovirology and Henon map keys for space encryption. Bearing in mind the rapid pace of change in the fields of fractional chaotic cryptovirology, our findings suggest that the proposed method is too powerful relative to the key sensitivity, histogram, entropy and correlation coefficient.

Suggested Citation

  • Walaa M. Abd-Elhafiez & Mahmoud Abdel-Aty & Xiao-Jun Yang & Awatef Balobaid, 2024. "An Image Encryption Technique Based On Discrete Wavelet Transform And Fractional Chaotic Cryptovirology," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 32(04), pages 1-11.
    • Handle: RePEc:wsi:fracta:v:32:y:2024:i:04:n:s0218348x23401242
    DOI: 10.1142/S0218348X23401242
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