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Intrusion detection system: A comprehensive review
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Citations
Cited by
Survey of intrusion detection systems: Techniques, datasets and challenges
Khraisat, A., Gondal, I., Vamplew, P., & Kamruzzaman, J. (2019) · Cybersecurity · doi:10.1186/s42400-019-0038-7 · Cited by 2,024
A survey of intrusion detection in Internet of Things
Zarpelão, B. B., Miani, R. S., Kawakani, C. T., & de Alvarenga, S. C. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.02.009 · Cited by 1,022
Cybersecurity data science: an overview from machine learning perspective
Sarker, I. H., Kayes, A. S. M., Badsha, S., Alqahtani, H., Watters, P., & Ng, A. (2020) · Journal of Big Data · doi:10.1186/s40537-020-00318-5 · Cited by 766
Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions
Al-rimy, B. A. S., Maarof, M. A., & Shaid, S. Z. M. (2018) · Computers & Security · doi:10.1016/j.cose.2018.01.001 · Cited by 383
An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units
Xu, C., Shen, J., Du, X., & Zhang, F. (2018) · IEEE Access · doi:10.1109/access.2018.2867564 · Cited by 339
Metadata
- Authors
- Liao, H.-J., Richard Lin, C.-H., Lin, Y.-C., & Tung, K.-Y.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 36
- Issue
- 1
- Pages
- 16-24
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W433644524
- Cited by
- 1,630
- References
- 0
- FWCI
- 43.89
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Intrusion detection system: A comprehensive review. https://app.cochat.ai/papers/10.1016/j.jnca.2012.09.004
- The paper
- Liao, H.-J., Richard Lin, C.-H., Lin, Y.-C., & Tung, K.-Y. (2013). Intrusion detection system: A comprehensive review. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2012.09.004
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.
