The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Intrusion detection in computer networks by a modular ensemble of one-class classifiers
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Citations
Cites
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
Cited by
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
Intrusion detection by machine learning: A review
Tsai, C.-F., Hsu, Y.-F., Lin, C.-Y., & Lin, W.-Y. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.05.029 · Cited by 969
A Survey on Machine Learning for Data Fusion
Meng, T., Jing, X., Yan, Z., & Pedrycz, W. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.001 · Cited by 677
Son, H., Kim, C., Hwang, N., Kim, C., & Kang, Y. (2014) · Advanced Engineering Informatics · doi:10.1016/j.aei.2013.10.001 · Cited by 74
Metadata
- Authors
- Giacinto, G., Perdisci, R., Del Rio, M., & Roli, F.
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 9
- Issue
- 1
- Pages
- 69-82
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W2083911205
- Cited by
- 218
- References
- 1
- FWCI
- 9.40
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Intrusion detection in computer networks by a modular ensemble of one-class classifiers. https://app.cochat.ai/papers/10.1016/j.inffus.2006.10.002
- The paper
- Giacinto, G., Perdisci, R., Del Rio, M., & Roli, F. (2008). Intrusion detection in computer networks by a modular ensemble of one-class classifiers. Information Fusion. https://doi.org/10.1016/j.inffus.2006.10.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
