Abacus: Accurate behavioral classification of P2P-TV traffic
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Bermolan et al.'s SVM classifier results in a worst-case true positive rate of about 95%, with false positive rate well below 0.1%.
“The classifier results in a worst-case TPR of about 95%, with FPR well below 0.1%.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [53]
Temporal and spatial portability of Bermolan et al.'s signatures is validated with marginal degradation in performance.
“Also, temporal and spatial portability of signatures is validated with marginal degradation in performance.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [53]
The data exchanged amongst P2P applications is highly discriminative.
“The data exchanged amongst P2P applications is highly discriminative [53].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [53]
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Self-citation
Flagged first, then by citations
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Cited by
Sorted by citations
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
Robust Network Traffic Classification
Zhang, J., Chen, X., Xiang, Y., Zhou, W., & Wu, J. (2015) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2014.2320577 · Cited by 391 · see citing works
- Authors
- Bermolen, P., Mellia, M., Meo, M., Rossi, D., & Valenti, S.
- Affiliations
- Télécom Paris (FR)
- Politecnico di Torino (IT)
- Corresponding author
- Valenti, Silvio
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 55
- Issue
- 6
- Pages
- 1394-1411
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W1972797382
- Cited by
- 67
- References
- 45
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 8 · 2021: 4 · 2020: 6 · 2019: 1 · 2018: 6 · 2017: 3 · 2016: 4 · 2015: 5 · 2014: 7 · 2013: 8 · 2012: 6
- FWCI
- 6.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Computer Networks (publishedVersion)
- PORTO@Iris (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Physical Sciences › Computer Science › Computer Networks and Communications › Peer-to-Peer Network Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- peer-to-peer streaming, network traffic classification, application identification, support vector machine, network traffic measurement
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