The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Toward the Accurate Identification of Network Applications
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In the citing paper
“Furthermore, relying solely on port numbers has been shown to be ineffective [125,228,320], largely due to the use of dynamic port negotiation, tunneling and misuse of port numbers assigned to well-known applications for obfuscating traffic and avoiding firewalls [54,109,176,286].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [320]
Citations
Cites
Snort - Lightweight Intrusion Detection for Networks
Roesch, M. (1999) · Cited by 3,094
Packet-level traffic measurements from the sprint IP backbone
Fraleigh, C., Moon, S. B., Lyles, B., Cotton, C., Khan, M., Moll, D., Rockell, R., Seely, T., & Diot, C. (2003) · IEEE Network · doi:10.1109/mnet.2003.1248656 · Cited by 639
The CoralReef Software Suite as a Tool for System and Network Administrators
Moore, D., Keys, K., Koga, R., Lagache, E., & claffy, K. (2001) · Cited by 114
Architecture of a network monitor
Moore, A. W., Hall, J., Kreibich, C., Harris, E. P., & Pratt, I. (2003) · Cited by 101
Self-citationContent-aware Internet application traffic measurement and analysis
Choi, T., Kim, C., Yoon, S., Park, J., Lee, B. J., Kim, H., Chung, H., & Jeong, T. S. (2004) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2004.1317737 · Cited by 45
(2004) · Elsevier eBooks · doi:10.1016/b978-1-932266-82-5.x5000-4 · Cited by 34
Research works printed but not linked: 1
- Moore, A.: Discrete content-based classification — a data set. Technical Report, Intel Research, Cambridge (2005)
Cited by
Sorted by citations
A survey of techniques for internet traffic classification using machine learning
Nguyen, T. T. T., & Armitage, G. (2008) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2008.080406 · Cited by 1,664
Internet traffic classification using bayesian analysis techniques
Moore, A. W., & Zuev, D. V. (2005) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/1064212.1064220 · Cited by 1,216
Self-citationBoutaba, 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
Karagiannis, T., Papagiannaki, K., & Faloutsos, M. (2005) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1080091.1080119 · Cited by 997
Self-citationTraffic classification using clustering algorithms
Erman, J., Arlitt, M. F., & Mahanti, A. (2006) · doi:10.1145/1162678.1162679 · Cited by 712
Metadata
- Authors
- Moore, A. W., & Papagiannaki, K.
- Affiliations
- University of Cambridge (GB)
- Intel (United States) (US)
- ORCID
- Moore, Andrew W.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 41-54
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1521553548
- Cited by
- 801
- References
- 6
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 31 · 2023: 25 · 2022: 40 · 2021: 35 · 2020: 41 · 2019: 34 · 2018: 36 · 2017: 28 · 2016: 31 · 2015: 35 · 2014: 39 · 2013: 48 · 2012: 56
- FWCI
- 25.93
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Funders
- Intel Corporation
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- network traffic classification, content-based classification, packet payload analysis, firewall bypass, network traffic measurement, packet traces
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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