Cited by 801Internet Traffic Analysis and Secure E-votingNetwork Packet Processing and OptimizationNetwork Security and Intrusion Detection

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Toward the Accurate Identification of Network Applications

Moore, Andrew W., Papagiannaki, Konstantina·2005·Lecture Notes in Computer Science

DOI 10.1007/978-3-540-31966-5_4

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Snort - Lightweight Intrusion Detection for Networks
Roesch, M. (1999) · Cited by 3,094
Packet-level traffic measurements from the sprint IP backbone
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Self-citation
Content-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
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(2004) · Elsevier eBooks · doi:10.1016/b978-1-932266-82-5.x5000-4 · Cited by 34

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Moore, A.: Discrete content-based classification — a data set. Technical Report, Intel Research, Cambridge (2005)

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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
DOI: 10.1007/978-3-540-31966-5_4
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

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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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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Toward the Accurate Identification of Network Applications

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