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相关实验视频

Updated: May 22, 2025

Analyzing Dendritic Morphology in Columns and Layers
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安全的灰色图像共享框架与使用图像消化器的自适应密钥生成.

C Nithya1, C Lakshmi2, K Thenmozhi1

  • 1School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.

Scientific reports
|March 15, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的图像加密方法来保护多媒体数据. 该算法确保了机密性-完整性-真实性 (CIA三元组) 在数字网络中安全共享信息.

关键词:
美国中央情报局三合一.哈希算法 哈希算法 哈希算法图像加密 图像加密信息安全信息安全.洛伦兹吸引器是一个吸引器.单向身份验证是一种单向身份验证.

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科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 密码学 密码学 密码学 密码学

背景情况:

  • 数字时代需要安全的数据传输和隐私管理.
  • 多媒体数据共享在公共网络上是脆弱的.
  • 强大的加密需要混和扩散策略.

研究的目的:

  • 为了确保图像的保密性,完整性和真实性 (CIA三位一体).
  • 开发一个安全的图像加密和身份验证框架.
  • 为了减轻多媒体数据共享的漏洞.

主要方法:

  • 提出了一种使用混和扩散的图像特定加密算法.
  • 为完整性生成单向哈希值作为数字指纹.
  • 使用洛伦茨吸引器用于随机索引生成,混.
  • 实现了一个单向身份验证令牌 (Authtoken) 生成器.

主要成果:

  • 获得了7.97871.1的平均.
  • 获得了0.00337.7的相关系数.
  • 通过各种与中央情报局相关的指标证明了适用性.

结论:

  • 拟议的框架为中情局图像传输三位一体提供了一个全面的解决方案.
  • 安全解决方案确保数据完整性,保密性和真实性.
  • 该系统对于安全的多媒体数据共享是有效的.