A highly secured image encryption scheme using quantum walk and chaos
Kamran, Muhammad Islam and Khan, Muazzam A. and Alsuhibany, Suliman A. and Ghadi, Yazeed Yasin and Arshad, A and Arif, Jameel and Ahmad, Jawad (2022) A highly secured image encryption scheme using quantum walk and chaos. Computers, Materials and Continua, 73 (1). pp. 657-672. ISSN 1546-2218 (https://doi.org/10.32604/cmc.2022.028876)
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Abstract
The use of multimedia data sharing has drastically increased in the past few decades due to the revolutionary improvements in communication technologies such as the 4th generation (4G) and 5th generation (5G) etc. Researchers have proposed many image encryption algorithms based on the classical random walk and chaos theory for sharing an image in a secure way. Instead of the classical random walk, this paper proposes the quantum walk to achieve high image security. Classical random walk exhibits randomness due to the stochastic transitions between states, on the other hand, the quantum walk is more random and achieve randomness due to the superposition, and the interference of the wave functions. The proposed image encryption scheme is evaluated using extensive security metrics such as correlation coefficient, entropy, histogram, time complexity, number of pixels change rate and unified average intensity etc. All experimental results validate the proposed scheme, and it is concluded that the proposed scheme is highly secured, lightweight and computationally efficient. In the proposed scheme, the values of the correlation coefficient, entropy, mean square error (MSE), number of pixels change rate (NPCR), unified average change intensity (UACI) and contrast are 0.0069, 7.9970, 40.39, 99.60%, 33.47 and 10.4542 respectively.
ORCID iDs
Kamran, Muhammad Islam, Khan, Muazzam A., Alsuhibany, Suliman A., Ghadi, Yazeed Yasin, Arshad, A ORCID: https://orcid.org/0000-0001-8621-2773, Arif, Jameel and Ahmad, Jawad;-
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Item type: Article ID code: 81630 Dates: DateEvent18 May 2022Published30 March 2022AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 29 Jul 2022 11:55 Last modified: 11 Nov 2024 13:33 URI: https://strathprints.strath.ac.uk/id/eprint/81630