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<p>To address the increasing security concerns regarding the transmission of sensitive geospatial data over public networks, this paper proposes a novel remote sensing image encryption algorithm (RSIEA), which integrates a newly designed two-dimensional hyper-chaotic system, 3D U-shaped transforms, improved Hachimoji DNA operations, and gene editing techniques. Firstly, the color plain image is divided into four equally sized sub-images. These sub-images are then rotated at different angles and scrambled using the designed 3D U-shaped transforms. Secondly, the scrambled image is encoded into a DNA sequence using dynamic Hachimoji DNA encoding. Subsequently, improved Hachimoji DNA operations are employed to simultaneously alter the type and position of bases, ensuring that each pixel is influenced by others. Thirdly, gene editing operations are used in the diffusion process to enhance the algorithm’s security. Finally, the encrypted image is obtained by decoding the diffused DNA sequence via dynamic Hachimoji DNA decoding. Experimental results demonstrate that the proposed RSIEA achieves a large key space (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(2^{598}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mn>2</mn> <mn>598</mn> </msup> </math></EquationSource> </InlineEquation>), near-ideal information entropy (up to 7.9975), negligible adjacent-pixel correlation (below 0.01), and strong resistance against differential attacks (NPCR <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\approx \)</EquationSource> <EquationSource Format="MATHML"><math> <mo>≈</mo> </math></EquationSource> </InlineEquation> 99.6134%, UACI <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\approx \)</EquationSource> <EquationSource Format="MATHML"><math> <mo>≈</mo> </math></EquationSource> </InlineEquation> 33.4643%). Therefore, the proposed algorithm serves as a promising candidate for remote sensing image protection in both military and civilian applications.</p>

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Chaos-based remote sensing image encryption algorithm using dynamic Hachimoji DNA coding and gene editing

  • 期刊论文

  • 发表日期：

    2026年3月10日

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  • Quanyv Wang,
  • Yalong Yang,
  • Xiaoqiang Zhang

摘要

To address the increasing security concerns regarding the transmission of sensitive geospatial data over public networks, this paper proposes a novel remote sensing image encryption algorithm (RSIEA), which integrates a newly designed two-dimensional hyper-chaotic system, 3D U-shaped transforms, improved Hachimoji DNA operations, and gene editing techniques. Firstly, the color plain image is divided into four equally sized sub-images. These sub-images are then rotated at different angles and scrambled using the designed 3D U-shaped transforms. Secondly, the scrambled image is encoded into a DNA sequence using dynamic Hachimoji DNA encoding. Subsequently, improved Hachimoji DNA operations are employed to simultaneously alter the type and position of bases, ensuring that each pixel is influenced by others. Thirdly, gene editing operations are used in the diffusion process to enhance the algorithm’s security. Finally, the encrypted image is obtained by decoding the diffused DNA sequence via dynamic Hachimoji DNA decoding. Experimental results demonstrate that the proposed RSIEA achieves a large key space ( \(2^{598}\) 2 598 ), near-ideal information entropy (up to 7.9975), negligible adjacent-pixel correlation (below 0.01), and strong resistance against differential attacks (NPCR \(\approx \) ≈ 99.6134%, UACI \(\approx \) ≈ 33.4643%). Therefore, the proposed algorithm serves as a promising candidate for remote sensing image protection in both military and civilian applications.