Scholarlink

<p>With the widespread application of multimedia information technology in cloud storage and secure communications, the secure transmission and storage of digital images have become a critical challenge.To address security challenges in digital images, this paper proposes a multi-layer windmill image encryption scheme integrating multidimensional chaos, quantum-inspired random walk, and DNA encoding. This approach employs chaotic sequences to drive quantum-inspired random walks for generating composite keys, thereby resolving the pseudo-randomness trap inherent in traditional chaotic encryption. By integrating multi-rule DNA encoding with mathematical matrix operations, it overcomes the limitations of single-base pairing, namely insufficient randomness and linearity defects. Furthermore, a multi-layer windmill-style error correction structure is designed to achieve 3/4 cropping attack resistance while enabling effective image reconstruction. Experiments demonstrate that this scheme possesses a key space exceeding 2<sup>25</sup>⁶, information entropy approaching 8, and high sensitivity to both plaintext and keys (NPCR≈99.60%, UACI≈33.46%). It effectively resists statistical analysis, differential attacks, noise, and cropping attacks, exhibiting superior security compared to mainstream comparative algorithms.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A multi-layer windmill image retention encryption algorithm based on composite sequences and DNA

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月24日

查看全文
  • Ning Zhang,
  • Mingxin Fang,
  • Bing Zhao

摘要

With the widespread application of multimedia information technology in cloud storage and secure communications, the secure transmission and storage of digital images have become a critical challenge.To address security challenges in digital images, this paper proposes a multi-layer windmill image encryption scheme integrating multidimensional chaos, quantum-inspired random walk, and DNA encoding. This approach employs chaotic sequences to drive quantum-inspired random walks for generating composite keys, thereby resolving the pseudo-randomness trap inherent in traditional chaotic encryption. By integrating multi-rule DNA encoding with mathematical matrix operations, it overcomes the limitations of single-base pairing, namely insufficient randomness and linearity defects. Furthermore, a multi-layer windmill-style error correction structure is designed to achieve 3/4 cropping attack resistance while enabling effective image reconstruction. Experiments demonstrate that this scheme possesses a key space exceeding 225⁶, information entropy approaching 8, and high sensitivity to both plaintext and keys (NPCR≈99.60%, UACI≈33.46%). It effectively resists statistical analysis, differential attacks, noise, and cropping attacks, exhibiting superior security compared to mainstream comparative algorithms.