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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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相关实验视频

Updated: Jan 9, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

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图像自适应加密使用EfficientNet B3功能引导多滚动混乱地图与模块控制的伪并行处理.

S Subathra1, V Thanikaiselvan2

  • 1School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Scientific reports
|December 6, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新的多阶段加密算法,将深度神经网络和混乱地图结合起来,以实现安全的图像传输. 新方法显著提高了对各种攻击的安全性和稳定性.

关键词:
双向选择性混是一种双向的选择性混.混乱的 intra/inter 像素扩散.动态 DNA 编码.有效的Net-B3 有效的Net-B3图像加密 图像加密关键的生成 关键的生成

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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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相关实验视频

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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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科学领域:

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

背景情况:

  • 在开放道中,安全的图像传输至关重要.
  • 现有的加密方法面临着对先进攻击的效率和安全性方面的挑战.

研究的目的:

  • 为增强图像传输安全性提出一种新的多阶段加密算法.
  • 提高对差异和统计攻击的效率和稳定性.

主要方法:

  • 集成深度神经网络 (EfficientNet-B3) 和一个4D多滚动混乱地图.
  • 图像自适应键生成使用SHA 256哈希值来生成混乱序列.
  • 伪并行处理采用双向选择性混合和混乱扩散技术.

主要成果:

  • 实现了大键空间 (2^674) 和高键灵敏度.
  • 经过高NPCR (99.9%) 和UACI (33.46%) 值的强烈雪崩效应.
  • 展示了对差异,统计,裁剪和噪声攻击的强度,与接近零的像素相关性.

结论:

  • 拟议的算法为图像传输提供了卓越的安全性和效率.
  • 深度学习和混乱系统的整合提供了一个强大的加密框架.
  • 该方法有效地解决了开放通道通信中的安全漏洞.