Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison
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There is an inherent mutual dependency on the size of the training data of one class of interest on another, impacting model performance.
“There is also an inherent mutual dependency on the size of the training data of one class of interest on another, impacting model performance [417].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [417]
Various classifiers leverage port numbers in conjunction with other techniques to improve the performance of traffic classifiers.
“Nevertheless, various classifiers leverage port numbers in conjunction with other techniques [31,56,244,417] to improve the performance of the traffic classifiers.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [417]
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Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works
- Authors
- Soysal, M., & Schmidt, E. G.
- Affiliations
- Turkish Academic Network and Information Center (TR)
- Venue
- Performance Evaluation
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 67
- Issue
- 6
- Pages
- 451-467
- ISSN
- 0166-5316 (ISSN-L)
- OpenAlex
- W2075932300
- Cited by
- 165
- References
- 46
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 13 · 2023: 7 · 2022: 12 · 2021: 12 · 2020: 10 · 2019: 12 · 2018: 15 · 2017: 12 · 2016: 11 · 2015: 8 · 2014: 11 · 2013: 14 · 2012: 8
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Performance Evaluation (publishedVersion)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
- Keywords
- network traffic classification, flow-based classification, Bayesian networks, decision tree, multilayer perceptron, peer-to-peer traffic, training data size, mislabeled training data, network monitoring
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