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相关概念视频

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

376
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
376

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相关实验视频

Updated: May 6, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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自动分析:基于深度学习的侧通道分析中的自动化分析

Yimeng Chen1, Bo Wang1, Changshan Su1

  • 1Phytium Research Center, Phytium Technology Co., Ltd., 300459, Tianjin, China.

Neural networks : the official journal of the International Neural Network Society
|August 29, 2025
PubMed
概括

通过定制贝叶斯优化,AutoProfile增强了侧通道分析的深度学习 (DL). 这种新的方法大大减少了破解加密系统所需的数据,

关键词:
深度学习硬件安全性神经网络功率分析分析攻击侧通道分析

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科学领域:

  • 加密和信息安全
  • 机器学习应用

背景情况:

  • 侧通道分析 (SCA) 利用泄露的信息从加密系统中提取数据.
  • 深度学习 (DL) 对SCA来说是有前途的,但网络建设仍然是一个挑战.

研究的目的:

  • 引入AutoProfile,这是一种改进基于DL的对加密系统的分析攻击的新方法.
  • 通过优化DL网络选择来提高SCA的有效性.

主要方法:

  • 在贝叶斯优化中为SCA定制建模策略和获取函数.
  • 该方法使用公开可用的数据集和真实侧通道测量进行了评估.
  • 性能与强大的加密目标的最先进方法进行了比较.

主要成果:

  • 与现有最先进的方法相比,AutoProfile的平均性能提高了78.4%.
  • 对于具有掩盖,随机延迟和关键变异对策的目标, 自动配置程序从数千个减少到数十个.
  • 与基线方法相比,AutoProfile在所有测试的SCA数据集中更快地识别了有效的DL网络.

结论:

  • 自动配置文件显著提高了基于DL的SCA的效率和有效性.
  • 这种方法在破解强大的加密系统时提供了实质性的优势,
  • 自动配置文件提供了一个更快的方法来选择最佳的DL网络用于侧通道分析攻击.