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<p>To solve the security problem of facial image transmission and storage, we propose a facial image encryption algorithm based on an improved 4-D hyperchaotic system. First, a new 4-D hyperchaotic system is obtained by improving the Chen chaotic system, and then the facial region in the image is recognized and encrypted via the Haar cascade face detection technique. The encryption process is divided into two stages: the scrambling phase uses circular layered and bit-plane splicing V-selective scrambling to alter pixel values, and the diffusion phase employs bit-level DNA cross-encoding and arithmetic operations. These techniques increase the complexity and randomness of encryption, increasing its resistance to brute-force attack. Finally, the encrypted facial region is combined with the non-face region. The experimental results show that the number of pixel change rates and the unified average change intensity of the encrypted image are near ideal, with an information entropy of 7.9976 bits. Security analysis confirms that the algorithm can withstand various attacks.</p>

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Facial image encryption scheme based on improved 4-D hyperchaotic system

  • 期刊论文

  • 发表日期：

    2025年2月1日

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  • Xuncai Zhang,
  • Mengrui Liu,
  • Ying Niu

摘要

To solve the security problem of facial image transmission and storage, we propose a facial image encryption algorithm based on an improved 4-D hyperchaotic system. First, a new 4-D hyperchaotic system is obtained by improving the Chen chaotic system, and then the facial region in the image is recognized and encrypted via the Haar cascade face detection technique. The encryption process is divided into two stages: the scrambling phase uses circular layered and bit-plane splicing V-selective scrambling to alter pixel values, and the diffusion phase employs bit-level DNA cross-encoding and arithmetic operations. These techniques increase the complexity and randomness of encryption, increasing its resistance to brute-force attack. Finally, the encrypted facial region is combined with the non-face region. The experimental results show that the number of pixel change rates and the unified average change intensity of the encrypted image are near ideal, with an information entropy of 7.9976 bits. Security analysis confirms that the algorithm can withstand various attacks.