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Keyword

network traffic classification

Description: The assignment of network traffic to categories, such as applications, protocols, or activity types, using traffic features or learned models.
OpenAlex ID: keywords/network-traffic-classification
An Architecture for Differentiated Service
1998 · Steven Blake, David L. Black, et al. · 5,486
An Architecture for Differentiated Services
1998 · S. Blake, D. Black, et al. · 4,065
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
2015 · Nour Moustafa, Jill Slay · Military Communications and Information Systems Conference · 3,989
A survey of techniques for internet traffic classification using machine learning
2008 · Thuy T.T. Nguyen, Grenville Armitage · IEEE Communications Surveys & Tutorials · 1,663
Characterization of Encrypted and VPN Traffic using Time-related Features
2016 · Gerard Draper-Gil, Arash Habibi Lashkari, et al. · International Conference on Information Systems Security and Privacy (ICISSP) · 1,208
Deep packet: a novel approach for encrypted traffic classification using deep learning
2019 · Mohammad Lotfollahi, Mahdi Jafari Siavoshani, et al. · Soft Computing · 1,183
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Malware traffic classification using convolutional neural network for representation learning
2017 · Wei Wang, Ming Zhu, et al. · International Conference on Information Networking · 1,171
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
2019 · Mohamed Amine Ferrag, Leandros Maglaras, et al. · Journal of Information Security and Applications · 1,143
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
2018 · Raouf Boutaba, Mohammad A. Salahuddin, et al. · Journal of Internet Services and Applications · 1,030
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End-to-end encrypted traffic classification with one-dimensional convolution neural networks
2017 · Wei Wang, Ming Zhu, et al. · IEEE International Conference on Intelligence and Security Informatics (ISI) · 988
An empirical comparison of botnet detection methods
2014 · S. García, M. Grill, et al. · Computers & Security · 959
Combining kohonen maps with arima time series models to forecast traffic flow
1996 · Mascha Van Der Voort, Mark Dougherty, et al. · Transportation Research Part C Emerging Technologies · 845
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Toward the Accurate Identification of Network Applications
2005 · Andrew W. Moore, Konstantina Papagiannaki · Lecture notes in computer science · 801
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
2017 · Manuel Lopez-Martin, Belen Carro, et al. · IEEE Access · 769
Traffic classification using clustering algorithms
2006 · Jeffrey Erman, Martin Arlitt, et al. · 712
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges
2018 · Junfeng Xie, F. Richard Yu, et al. · IEEE Communications Surveys & Tutorials · 700
Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection
2018 · Iftikhar Ahmad, Mohammad Basheri, et al. · IEEE Access · 694
Random Forest Modeling for Network Intrusion Detection System
2016 · Nabila Farnaaz, M.A. Jabbar · Procedia Computer Science · 686
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Deep Learning for Encrypted Traffic Classification: An Overview
2019 · Shahbaz Rezaei, Xin Liu · IEEE Communications Magazine · 669
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Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
2016 · Mohammed A. Ambusaidi, Xiangjian He, et al. · IEEE Transactions on Computers · 646
Website Fingerprinting at Internet Scale
2016 · Andriy Panchenko, Fabian Lanze, et al. · Network and Distributed System Security Symposium · 645
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Issues and future directions in traffic classification
2012 · Alberto Dainotti, Antonio Pescape, et al. · IEEE Network · 630
Packet classification on multiple fields
1999 · Pankaj Gupta, Nick McKeown · 603
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Traffic classification on the fly
2006 · Laurent Bernaille, Renata Teixeira, et al. · ACM SIGCOMM Computer Communication Review · 585
An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things
2018 · Nour Moustafa, Benjamin Turnbull, et al. · IEEE Internet of Things Journal · 584
Works count: 16,500
Citation count: 190,900
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