Visualizing Realistic Benchmarked IDS Dataset: CIRA-CIC-DoHBrw-2020
Author:
Affiliation:
1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Tapah, Perak, Malaysia
2. Automobile Transportation Department, South Ural State University, Chelyabinsk, Russia
3. Al Safwah Centre, SecurEyes Ltd., Riyadh, Saudi Arabia
Funder
Research Management Centre (RMC), Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi MARA
Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09878102.pdf?arnumber=9878102
Reference22 articles.
1. CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
2. Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset
3. A Hybrid Intrusion Detection System Based on Scalable K-Means+ Random Forest and Deep Learning
4. A Novel Wireless Network Intrusion Detection Method Based on Adaptive Synthetic Sampling and an Improved Convolutional Neural Network
5. Intrusion Detection of Imbalanced Network Traffic Based on Machine Learning and Deep Learning
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An intrusion detection model to detect zero-day attacks in unseen data using machine learning;PLOS ONE;2024-09-11
2. Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning;Journal of Electrical and Computer Engineering;2024-06-01
3. From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding;IEEE Access;2024
4. Monitoring and Analysis of Encrypted Attack Traffic Based on Machine Learning;2023 International Conference on Human-Centered Cognitive Systems (HCCS);2023-12-16
5. Resistors Over Digital Analog Converter on PRBS Threat Generator with PLL Synchronizer: Comparison Between R2R & Weighted;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3