Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Hybridoma Technology01:31

Hybridoma Technology

14.1K
Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
14.1K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

798
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
798

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Designing a neuro-symbolic dual-model architecture for explainable and resilient intrusion detection in IoT networks.

Scientific reports·2025
Same author

Evaluating large transformer models for anomaly detection of resource-constrained IoT devices for intrusion detection system.

Scientific reports·2025
Same author

Transfer learning with XAI for robust malware and IoT network security.

Scientific reports·2025
Same author

A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling.

Scientific reports·2025
Same author

Digital twin based deep learning framework for personalized thermal comfort prediction and energy efficient operation in smart buildings.

Scientific reports·2025
Same author

A proposed technique for predicting heart disease using machine learning algorithms and an explainable AI method.

Scientific reports·2024

相关实验视频

Updated: Jun 13, 2025

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.6K

一个拟议的生物识别身份验证混合方法,使用虹膜识别来提高云安全性.

Hosam El-Sofany1, Belgacem Bouallegue1,2, Yasser M Abd El-Latif3

  • 1College of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.

Heliyon
|September 12, 2024
PubMed
概括

本研究介绍了一种使用虹膜识别,边缘检测和细分来增强云安全的混合生物识别系统. 这种新的方法实现了高的识别率,提高了认证安全性.

关键词:
生物识别身份验证的真实性云安全 云安全 云安全卷积神经网络是一种卷积神经网络.边缘检测 边缘检测 边缘检测击距离 击距离 击距离虹膜识别功能 虹膜识别功能分段化 分段化 分段化 分段化

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

3.4K

相关实验视频

Last Updated: Jun 13, 2025

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.6K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

3.4K

科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 生物识别信息 生物识别信息

背景情况:

  • 传统的身份验证方法面临安全挑战.
  • 生物识别系统提供了一个更安全的替代方案,但具有技术上的局限性.
  • 云系统需要强大的安全措施.

研究的目的:

  • 提出一种混合方法,将边缘检测和细分结合起来,以提高云系统安全性.
  • 为了利用虹膜识别来实现安全的生物识别身份验证.
  • 评估拟议方法在改善云安全服务方面的有效性.

主要方法:

  • 一种混合方法,整合边缘检测和细分技术.
  • 虹膜识别用于生物识别特征提取.
  • 使用哈明距离 (HD) 和卷积神经网络 (CNN) 进行分类.
  • 在MMU,IITD和CASIA Iris Interval V4数据集上进行验证.

主要成果:

  • 在使用CNN的MMU数据集上实现了99.50%的识别率.
  • 在使用CNN的IITD数据集上获得了97.18%的识别率.
  • 在使用HD的CASIA数据集上达到95.07%的识别率.
  • 与以前的研究分类器相比,表现出优越的性能.

结论:

  • 拟议的混合生物识别系统显著提高了云安全性.
  • 虹膜识别与先进的图像处理和机器学习相结合,提供了高精度.
  • 该方法为安全的云身份验证提供了可行的解决方案.