A multilevel taxonomy and requirements for an optimal traffic-classification model
Author:
Affiliation:
1. IT department; Lebanese University; Beirut Lebanon
2. Department of Signal Processing, Telematics and Communication-CITIC-UGR; University of Granada; Granada Spain
Publisher
Wiley
Subject
Computer Networks and Communications,Computer Science Applications
Reference81 articles.
1. Zink T Waldvogel M Bittorrent traffic obfuscation: a chase towards semantic traffic identification 12th IEEE International Conference on Peer-to-Peer Computing 2012
2. McCarthy C Zincir-Heywood A An investigation on identifying SSL traffic IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) 2011
3. Mujtaba G Parish DJ Detection of applications within encrypted tunnels using packet size distributions International Conference for Internet Technology and Secured Transactions (ICITST) 2009
4. Handbook of Peer-to-Peer Networking
5. A survey of techniques for Internet traffic classification using machine learning;Nguyen;IEEE Communications Surveys and Tutorials,2007
Cited by 43 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. SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning;Future Generation Computer Systems;2025-01
2. Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning;Sensors;2024-05-29
3. A Hybrid Personal Cyber Threat Intelligence Sharing Protocol Using Steganography and Secret Sharing;Springer Proceedings in Complexity;2024
4. A Comprehensive Investigation Into the Implementation of Machine Learning Solutions for Network Traffic Classification;2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech);2023-12-23
5. A Network Traffic Classification Method Based on Dual-Mode Feature Extraction and Hybrid Neural Networks;IEEE Transactions on Network and Service Management;2023-12
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