The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Modeling intrusion detection system using hybrid intelligent systems
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
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
An Improved Convolutional Neural Network Model for Intrusion Detection in Networks
Khan, R. U., Zhang, X., Alazab, M., & Kumar, R. (2019) · 2019 Cybersecurity and Cyberforensics Conference (CCC) · doi:10.1109/ccc.2019.000-6 · Cited by 141
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
Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques
Mostafa, M. M., & El-Masry, A. A. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.03.007 · Cited by 60
Metadata
- Authors
- Peddabachigari, S., Abraham, A., Grosan, C., & Thomas, J.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2007-01
- Volume
- 30
- Issue
- 1
- Pages
- 114-132
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2130802299
- Cited by
- 434
- References
- 2
- FWCI
- 9.22
- 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: Modeling intrusion detection system using hybrid intelligent systems. https://app.cochat.ai/papers/10.1016/j.jnca.2005.06.003
- The paper
- Peddabachigari, S., Abraham, A., Grosan, C., & Thomas, J. (2007). Modeling intrusion detection system using hybrid intelligent systems. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2005.06.003
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.
