Scholarlink

<p>With the rapid development and wide application of internet of things (IoT) technology, optical equipment is being promoted to collect and store multi-scale remote sensing images, and to apply them in various fields such as industry, agriculture, and ecological and environmental protection. However, the resulting security risks have also caused widespread concern. This paper designs a remote sensing image synchronization encryption scheme based on 3D cross-coupled chaotic map and block-based cubes for multi-scale remote sensing images. First, a new 3D chaotic map is constructed by coupling the traditional single-node sinusoidal map, which provides support for building complex chaotic mappings for devices with limited resources. Second, a fractal square based on the Hilbert curve combined with chaos achieves simultaneous pixel scrambling and diffusion operations, improving multi-scale graphics encryption. Finally, a multi-type remote sensing graphics dataset is used for testing and a series of analysis experiments are performed to prove the feasibility of the algorithm.</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 synchronous encryption scheme for remote sensing images using 3D cross-coupled chaotic maps and fractal cubes in the internet of things

  • 期刊论文

  • 发表日期：

    2026年4月27日

查看全文
  • Ze Yu,
  • Ying Zhou,
  • Zhenlong Man

摘要

With the rapid development and wide application of internet of things (IoT) technology, optical equipment is being promoted to collect and store multi-scale remote sensing images, and to apply them in various fields such as industry, agriculture, and ecological and environmental protection. However, the resulting security risks have also caused widespread concern. This paper designs a remote sensing image synchronization encryption scheme based on 3D cross-coupled chaotic map and block-based cubes for multi-scale remote sensing images. First, a new 3D chaotic map is constructed by coupling the traditional single-node sinusoidal map, which provides support for building complex chaotic mappings for devices with limited resources. Second, a fractal square based on the Hilbert curve combined with chaos achieves simultaneous pixel scrambling and diffusion operations, improving multi-scale graphics encryption. Finally, a multi-type remote sensing graphics dataset is used for testing and a series of analysis experiments are performed to prove the feasibility of the algorithm.