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Tao Cheng(程涛), Run-Sheng Zhao(赵润盛), Shuang Wang(王爽), Kehan Wang(王柯涵), and Hong-Yang Ma(马鸿洋). 2025: Quantum color image encryption: Dual scrambling scheme based on DNA codec and quantum Arnold transform, Chinese Physics B, 34(1): 010305. doi: 10.1088/1674-1056/ad8a4b
Citation: Tao Cheng(程涛), Run-Sheng Zhao(赵润盛), Shuang Wang(王爽), Kehan Wang(王柯涵), and Hong-Yang Ma(马鸿洋). 2025: Quantum color image encryption: Dual scrambling scheme based on DNA codec and quantum Arnold transform, Chinese Physics B, 34(1): 010305. doi: 10.1088/1674-1056/ad8a4b
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Quantum color image encryption: Dual scrambling scheme based on DNA codec and quantum Arnold transform

  • 1 School of Sciences, Qingdao University of Technology, Qingdao 266033, China;

  • 2 School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266033, China

  • Received Date: 27/08/2024
    Accepted Date: 06/10/2024
  • Fund Project:

    Project supported by the Natural Science Foundation of Shandong Province, China (Grant No. ZR2021MF049), Joint Fund of Natural Science Foundation of Shandong Province (Grant Nos. ZR2022LLZ012 and ZR2021LLZ001), and the Key R&D Program of Shandong Province, China (Grant No. 2023CXGC010901).

  • In the field of Internet, an image is of great significance to information transmission. Meanwhile, how to ensure and improve its security has become the focus of international research. We combine DNA codec with quantum Arnold transform (QArT) to propose a new double encryption algorithm for quantum color images to improve the security and robustness of image encryption. First, we utilize the biological characteristics of DNA codecs to perform encoding and decoding operations on pixel color information in quantum color images, and achieve pixel-level diffusion. Second, we use QArT to scramble the position information of quantum images and use the operated image as the key matrix for quantum XOR operations. All quantum operations in this paper are reversible, so the decryption operation of the ciphertext image can be realized by the reverse operation of the encryption process. We conduct simulation experiments on encryption and decryption using three color images of "Monkey", "Flower", and "House". The experimental results show that the peak value and correlation of the encrypted images on the histogram have good similarity, and the average normalized pixel change rate (NPCR) of RGB three-channel is 99.61%, the average uniform average change intensity (UACI) is 33.41%, and the average information entropy is about 7.9992. In addition, the robustness of the proposed algorithm is verified by the simulation of noise interference in the actual scenario.
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Quantum color image encryption: Dual scrambling scheme based on DNA codec and quantum Arnold transform

  • Received Date: 27/08/2024
  • Accepted Date: 06/10/2024
Fund Project: 

Abstract: In the field of Internet, an image is of great significance to information transmission. Meanwhile, how to ensure and improve its security has become the focus of international research. We combine DNA codec with quantum Arnold transform (QArT) to propose a new double encryption algorithm for quantum color images to improve the security and robustness of image encryption. First, we utilize the biological characteristics of DNA codecs to perform encoding and decoding operations on pixel color information in quantum color images, and achieve pixel-level diffusion. Second, we use QArT to scramble the position information of quantum images and use the operated image as the key matrix for quantum XOR operations. All quantum operations in this paper are reversible, so the decryption operation of the ciphertext image can be realized by the reverse operation of the encryption process. We conduct simulation experiments on encryption and decryption using three color images of "Monkey", "Flower", and "House". The experimental results show that the peak value and correlation of the encrypted images on the histogram have good similarity, and the average normalized pixel change rate (NPCR) of RGB three-channel is 99.61%, the average uniform average change intensity (UACI) is 33.41%, and the average information entropy is about 7.9992. In addition, the robustness of the proposed algorithm is verified by the simulation of noise interference in the actual scenario.

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