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<p>Numerous image encryption schemes currently in use suffer from limitations such as inadequate diffusion and incomplete scrambling, which substantially increase the susceptibility of encrypted images to malicious attacks. To overcome the aforementioned limitations, this study proposes a novel image compression encryption scheme that combines compressive sensing, Dining Philosophers scrambling algorithm, and two-dimensional hyperchaotic map. Specifically, a novel two-dimensional hyperchaotic map, referred to as LoSiC, is proposed. The LoSiC map demonstrates enhanced chaotic properties compared to recently introduced chaotic maps. Second, the Dining Philosophers scrambling algorithm is applied in the scrambling phase, while the radial diffusion algorithm is employed in the diffusion phase. This combination ensures enhanced randomness and stronger diffusion, thus improving the security performance of the encryption scheme. To mitigate the impact of redundant cipher-image data on transmission and storage efficiency, a block-based compressive sensing technique is incorporated. Experimental results show that the proposed scheme achieves an average information entropy of 7.9987, NPCR of 99.6089%, and UACI of 33.4707%, while maintaining a reconstructed PSNR above 30 dB, demonstrating strong encryption performance and robustness against potential security threats.</p>

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A high-performance and robust image compression and encryption method combining the Dining Philosophers strategy and radial diffusion mechanism

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Huabin Peng,
  • Xiaomei Tian,
  • Zhong Chen,
  • Yong Deng,
  • Ming Yao,
  • Yongquan Xiao,
  • Zikang Tang

摘要

Numerous image encryption schemes currently in use suffer from limitations such as inadequate diffusion and incomplete scrambling, which substantially increase the susceptibility of encrypted images to malicious attacks. To overcome the aforementioned limitations, this study proposes a novel image compression encryption scheme that combines compressive sensing, Dining Philosophers scrambling algorithm, and two-dimensional hyperchaotic map. Specifically, a novel two-dimensional hyperchaotic map, referred to as LoSiC, is proposed. The LoSiC map demonstrates enhanced chaotic properties compared to recently introduced chaotic maps. Second, the Dining Philosophers scrambling algorithm is applied in the scrambling phase, while the radial diffusion algorithm is employed in the diffusion phase. This combination ensures enhanced randomness and stronger diffusion, thus improving the security performance of the encryption scheme. To mitigate the impact of redundant cipher-image data on transmission and storage efficiency, a block-based compressive sensing technique is incorporated. Experimental results show that the proposed scheme achieves an average information entropy of 7.9987, NPCR of 99.6089%, and UACI of 33.4707%, while maintaining a reconstructed PSNR above 30 dB, demonstrating strong encryption performance and robustness against potential security threats.