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<p>The increasing reliance on remote sensing and astronomical imaging technologies necessitates robust security measures to prevent unauthorized access and data manipulation. Traditional encryption techniques often struggle with the high-dimensional complexity and redundancy of remote sensing images. To address this challenge, we propose an image encryption scheme based on the property of Fourier transform that uses a particular portion of the input in the Fourier plane for encryption but is capable of decrypting the full information of the image. Further, it uses a fingerprint-based encryption key combined with deoxyribonucleic acid (DNA) encoding and chaotic systems. By leveraging the intrinsic randomness of chaotic maps and the biological operations of DNA sequences, the proposed method achieves high level of security and efficiency in securing satellite and remote sensing images. A comprehensive performance analysis, including key sensitivity, entropy evaluation, and resistance against statistical and specific attacks, confirms the robustness of the proposed approach.</p>

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Satellite image encryption using biometric information using random modulus decomposition and DNA encoding

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月20日

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  • Allarakha Shikder,
  • Sonu Kumar Rao,
  • Naveen K. Nishchal

摘要

The increasing reliance on remote sensing and astronomical imaging technologies necessitates robust security measures to prevent unauthorized access and data manipulation. Traditional encryption techniques often struggle with the high-dimensional complexity and redundancy of remote sensing images. To address this challenge, we propose an image encryption scheme based on the property of Fourier transform that uses a particular portion of the input in the Fourier plane for encryption but is capable of decrypting the full information of the image. Further, it uses a fingerprint-based encryption key combined with deoxyribonucleic acid (DNA) encoding and chaotic systems. By leveraging the intrinsic randomness of chaotic maps and the biological operations of DNA sequences, the proposed method achieves high level of security and efficiency in securing satellite and remote sensing images. A comprehensive performance analysis, including key sensitivity, entropy evaluation, and resistance against statistical and specific attacks, confirms the robustness of the proposed approach.