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<p>To enhance the transmission security and attack resistance of remote sensing images, this paper proposes a novel asymmetric image encryption scheme based on the Goldwasser–Micali (GM) algorithm and chaotic system. First, a dynamic key generation mechanism is established by integrating the GM algorithm and plain image hash value. Second, a novel two-dimensional Cos-Tan-Sigmoid map (2D-CTSM) is designed based on the Sigmoid structure. Third, a remote sensing image encryption algorithm is constructed, incorporating random center coordinate scrambling (RCCS), Chinese remainder theorem (CRT) masking, and differential diffusion mechanisms. Simulation experiments demonstrate that the proposed encryption scheme exhibits outstanding performance in image security, sensitivity analysis, and attack resistance, significantly enhancing the data confidentiality of remote sensing images.</p>

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Asymmetrical encryption scheme for remote sensing image using GM algorithm and 2D hyperchaotic map

  • 期刊论文

  • 发表日期：

    2025年7月21日

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  • Mingsheng Lu,
  • Jianeng Tang,
  • Jianan Hou,
  • Yinghang Zhao,
  • Jing Wang

摘要

To enhance the transmission security and attack resistance of remote sensing images, this paper proposes a novel asymmetric image encryption scheme based on the Goldwasser–Micali (GM) algorithm and chaotic system. First, a dynamic key generation mechanism is established by integrating the GM algorithm and plain image hash value. Second, a novel two-dimensional Cos-Tan-Sigmoid map (2D-CTSM) is designed based on the Sigmoid structure. Third, a remote sensing image encryption algorithm is constructed, incorporating random center coordinate scrambling (RCCS), Chinese remainder theorem (CRT) masking, and differential diffusion mechanisms. Simulation experiments demonstrate that the proposed encryption scheme exhibits outstanding performance in image security, sensitivity analysis, and attack resistance, significantly enhancing the data confidentiality of remote sensing images.