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Updated: Jun 17, 2025

Stereoacuity Improvement using Random-Dot Video Games
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使用混乱动态系统的高效三层安全自适应视频隐形图法.

D Kumar1, V K Sudha2, N Manikandan3

  • 1P.A. College of Engineering and Technology, Pollachi, India.

Scientific reports
|August 7, 2024
PubMed
概括
此摘要是机器生成的。

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这项研究提出了一种新的三层自适应式视频隐藏法方法,用于安全的数据传输. 该方法实现高隐藏比率高达28.125%,同时保持视频质量,提高数据安全性.

科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 数字通信数字通信

背景情况:

  • 越来越多的互联网使用需要强有力的数据安全措施.
  • 密码学和隐形学是安全数据传输的关键技术.
  • 现有的方法可能缺乏适应性安全性或足够的隐藏能力.

研究的目的:

  • 引入一项创新的自适应视频盗窃技术,具有三层安全级别.
  • 通过在视频中有效地隐藏信息来增强安全的通信.
  • 为用户提供对嵌入容量的灵活控制.

主要方法:

  • 在封面视频中嵌入空间域.
  • 适应控制块 (ACB) 提供灵活的嵌入容量.
  • 混沌密钥生成器 (CKG) 使用后勤和正弦图用于安全参数 (PO,FS,RPH).
  • 三级安全:加密,随机选和随机隐藏位置.

主要成果:

  • 实现了自适应隐藏比率从7.1%到28.125% (每像素0.56到2.25位).
  • 保持高视频质量,峰值信号噪声比 (PSNR) 在50.25至62.05dB之间.
  • 证明有效的数据隐藏和安全传输.
关键词:
适应性视频隐形图形学混沌的钥匙发生器隐藏比率是一个隐藏比率.这是一个PSNR.实用载荷是可以使用的.

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结论:

  • 拟议的自适应视频盗撮方法为安全的数据传输提供了强大的解决方案.
  • 三层安全系统有效地保护隐藏的数据.
  • 该方法平衡了高隐藏能力与无形的视频质量下降.