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<p>With the rapid development of information technology, image data have been widely applied in various fields, making the protection of image data security increasingly important. This paper proposes a novel image encryption algorithm that combines the 3D Arnold transform and DNA encoding technology, aiming to enhance the security and robustness of image encryption. First, the hash value of the image is used as the key, and chaotic sequences are generated through the logistic map and a 7D chaotic system. Next, the image undergoes multiple scrambling based on the chaotic sequences and 3D Arnold transform to further increase the encryption strength. Then, DNA encoding technology and DNA mutation are employed to perform diffusion and generate the encrypted image. Experimental results show that the proposed method not only improves the security of image encryption but also demonstrates strong resistance to attacks. In addition, the entropy value of the encrypted image approaches 8, and the histogram distribution is uniform, which verifies the randomness and unpredictability of the encrypted image. Moreover, the decryption process restores the original image through inverse operations, demonstrating high feasibility and practical value.</p>

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Secure image encryption with 3D Arnold transformation and DNA mutation techniques

  • 期刊论文

  • 发表日期：

    2026年3月24日

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  • Zhiwei Zhang,
  • Tao Yang,
  • Donglin Zhu,
  • Changjun Zhou

摘要

With the rapid development of information technology, image data have been widely applied in various fields, making the protection of image data security increasingly important. This paper proposes a novel image encryption algorithm that combines the 3D Arnold transform and DNA encoding technology, aiming to enhance the security and robustness of image encryption. First, the hash value of the image is used as the key, and chaotic sequences are generated through the logistic map and a 7D chaotic system. Next, the image undergoes multiple scrambling based on the chaotic sequences and 3D Arnold transform to further increase the encryption strength. Then, DNA encoding technology and DNA mutation are employed to perform diffusion and generate the encrypted image. Experimental results show that the proposed method not only improves the security of image encryption but also demonstrates strong resistance to attacks. In addition, the entropy value of the encrypted image approaches 8, and the histogram distribution is uniform, which verifies the randomness and unpredictability of the encrypted image. Moreover, the decryption process restores the original image through inverse operations, demonstrating high feasibility and practical value.