AN IMAGE ENCRYPTION TECHNIQUE BASED ON DISCRETE WAVELET TRANSFORM AND FRACTIONAL CHAOTIC CRYPTOVIROLOGY

Walaa M. Abd-Elhafiez, Mahmoud Abdel-Aty, Xiao-Jun Yang and Awatef Balobaid
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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

FRACTALS (fractals), 2024, vol. 32, issue 04, 1-11

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.

Keywords: Fractional Chaotic Cryptovirology; DWT; Encryption; Blockchain; Hyberchaos System (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X23401242

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