The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks
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Citations
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
(1992) · Cited by 23,431
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Proceedings of the International Joint Conference on Artificial Intelligence 2007
Bundy, A. (2007) · International Joint Conference on Artificial Intelligence · Cited by 2,761
An Introduction to Neural Networks
Anderson, J. A. (1995) · The MIT Press eBooks · doi:10.7551/mitpress/3905.001.0001 · Cited by 1,103
An Introduction to the Bootstrap.
Simonoff, J. S., Efron, B., Tibshirani, R. J., & Hjorth, J. S. U. (1994) · Journal of the American Statistical Association · doi:10.2307/2291020 · Cited by 855
Introduction to neural networks
Cross, S. S., Harrison, R. F., & Kennedy, R. L. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91746-2 · Cited by 615
Bace, R. G. (1999) · Cited by 498
Artificial Neural Networks for Misuse Detection
Cannady, J. (1998) · Cited by 417
Intrusion detection: a brief history and overview
Kemmerer, R. A., & Vigna, G. (2002) · Computer · doi:10.1109/mc.2002.1012428 · Cited by 387
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
Machine Learning for Anomaly Detection: A Systematic Review
Nassif, A. B., Talib, M. A., Nasir, Q., & Dakalbab, F. M. (2021) · IEEE Access · doi:10.1109/access.2021.3083060 · Cited by 748
Li, Y., Xia, J., Zhang, S., Yan, J., Ai, X., & Dai, K. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.07.032 · Cited by 386
A GA-LR wrapper approach for feature selection in network intrusion detection
Khammassi, C., & Krichen, S. (2017) · Computers & Security · doi:10.1016/j.cose.2017.06.005 · Cited by 382
Metadata
- Authors
- Depren, O., Topallar, M., Anarim, E., & Ciliz, M. K.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 29
- Issue
- 4
- Pages
- 713-722
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2141254179
- Cited by
- 513
- References
- 14
- FWCI
- 12.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Depren, O., Topallar, M., Anarim, E., & Ciliz, M. K. (2005). An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2005.05.002
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.