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

Rapidly Varying Flow01:24

Rapidly Varying Flow

51
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
51
Flow Cytometry01:23

Flow Cytometry

12.3K
The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
12.3K

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

AI-Driven Cybersecurity in IoT: Adaptive Malware Detection and Lightweight Encryption via TRIM-SEC Framework.

Sensors (Basel, Switzerland)·2025
Same author

IoT-Enabled Adaptive Traffic Management: A Multiagent Framework for Urban Mobility Optimisation.

Sensors (Basel, Switzerland)·2025
Same author

An Entropy-Based Clustering Algorithm for Real-Time High-Dimensional IoT Data Streams.

Sensors (Basel, Switzerland)·2024
Same author

Identifying the Barriers to Acceptance of Blockchain-Based Patient-Centric Data Management Systems in Healthcare.

Healthcare (Basel, Switzerland)·2024
Same author

User concerns regarding information sharing on social networking sites: The user's perspective in the context of national culture.

PloS one·2022

相关实验视频

Updated: Jun 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

487

一个高效的基于流量的异常检测系统,用于物联网网络中增强安全性.

Ibrahim Mutambik1

  • 1Department of Information Science, College of Humanities and Social Sciences, King Saud University, Riyadh P.O. Box 11451, Saudi Arabia.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
概括

物联网 (IoT) 的安全性得到了物联网-FIDS,一种新的轻量级系统的增强. 它通过分析正常的网络流量模式来检测威胁,提供一个实用的解决方案,最小的假阳性.

科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 物联网的物联网,就是物联网.

背景情况:

  • 物联网 (IoT) 设备的扩散引入了重要的网络漏洞.
  • 物联网设备中的硬件限制限制了强大的安全功能实施.
  • 现有的基于行为入侵检测系统 (IDS) 面临着数据标签和计算需求的挑战.

研究的目的:

  • 为物联网环境引入一个轻量级和高效的异常检测框架IoT-FIDS.
  • 解决传统IDS在资源有限的物联网网络中的实际部署限制.
  • 开发一个基于网络的IDS,通过分析通信模式来识别威胁.

主要方法:

  • 开发了物联网-FIDS,这是一个基于流动的物联网入侵检测系统 (IDS).
  • 专注于分析良性流量,以识别通信模式,服务和数据包标题中的偏差.
  • 使用基于流的表示,而不是传统的机器学习技术.

主要成果:

  • 物联网-FIDS准确地检测到物联网网络中大多数异常流量模式.
  • 该框架显示,错误阳性率最低.
  • 实验结果验证了物联网-FIDS在现实世界物联网安全方面的可行性.
关键词:
物联网安全物联网安全物联网安全检测异常检测异常检测基于行为的入侵检测检测.基于流量分析的分析.网络流量监控 网络流量监控

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

470
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

相关实验视频

Last Updated: Jun 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

487
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

470
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

结论:

  • 物联网-FIDS提供了一种简化和实用的方法来保护物联网网络.
  • 物联网-FIDS的轻量化和高效性使其适用于资源有限的环境.
  • 这种基于网络的IDS提供了一种可行的解决方案,用于加强对新出现的威胁的物联网安全性.