The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
GT: picking up the truth from the ground for internet traffic
Open accessAbstract
Much of Internet traffic modeling, firewall, and intrusion detection research requires traces where some ground truth regarding application and protocol is associated with each packet or flow. This paper presents the design, development and experimental evaluation of gt, an open source software toolset for associating ground truth information with Internet traffic traces. By probing the monitored host's kernel to obtain information on active Internet sessions, gt gathers ground truth at the application level. Preliminary experimental results show that gt's effectiveness comes at little cost in terms of overhead on the hosting machines. Furthermore, when coupled with other packet inspection mechanisms, gt can derive ground truth not only in terms of applications (e.g., e-mail), but also in terms of protocols (e.g., SMTP vs. POP3).
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Citations
Cites
Internet traffic classification demystified: myths, caveats, and the best practices
Kim, H., Claffy, K., Fomenkov, M., Barman, D., Faloutsos, M., & Lee, K. (2008) · Proceedings of the 2008 ACM CoNEXT Conference on - CONEXT '08 · doi:10.1145/1544012.1544023 · Cited by 485
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Metadata
- Authors
- Gringoli, F., Salgarelli, L., Dusi, M., Cascarano, N., Risso, F., & claffy, K. C.
- Venue
- ACM SIGCOMM Computer Communication Review
- Published
- 2009-10-07
- Volume
- 39
- Issue
- 5
- Pages
- 12-18
- ISSN
- 0146-4833 (ISSN-L)
- OpenAlex
- W1999880153
- Cited by
- 192
- References
- 1
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- green
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- Gringoli, F., Salgarelli, L., Dusi, M., Cascarano, N., Risso, F., & claffy, K. C. (2009). GT: picking up the truth from the ground for internet traffic. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/1629607.1629610
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
