The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A novel statistical technique for intrusion detection systems
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Citations
Cites
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Cited by
Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings
Plageras, A. P., Psannis, K. E., Stergiou, C., Wang, H., & Gupta, B. B. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.082 · Cited by 594
Self-citationAzam, Z., Islam, M. M., & Huda, M. N. (2023) · IEEE Access · doi:10.1109/access.2023.3296444 · Cited by 265
AI-based Security for the Smart Networks
Kalinin, M., & Zegzhda, P. (2020) · 13th International Conference on Security of Information and Networks · doi:10.1145/3433174.3433593 · Cited by 13
Metadata
- Authors
- Kabir, E., Hu, J., Wang, H., & Zhuo, G.
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 79
- Pages
- 303-318
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2579916179
- Cited by
- 216
- References
- 1
- FWCI
- 17.06
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A novel statistical technique for intrusion detection systems. https://app.cochat.ai/papers/10.1016/j.future.2017.01.029
- The paper
- Kabir, E., Hu, J., Wang, H., & Zhuo, G. (2018). A novel statistical technique for intrusion detection systems. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.01.029
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.