The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Towards a taxonomy of intrusion-detection systems
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
Cited by
Probabilistic Alert Correlation
Valdes, A., & Skinner, K. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45474-8_4 · Cited by 632
From intrusion detection to attacker attribution: A comprehensive survey of unsupervised methods
Nisioti, A., Mylonas, A., Yoo, P. D., & Katos, V. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2854724 · Cited by 212
Szymanski, T. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169137 · Cited by 59
Anomaly Detection via One Class SVM for Protection of SCADA Systems
Jiang, J., & Yasakethu, L. (2013) · 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery · doi:10.1109/cyberc.2013.22 · Cited by 47
Using Contextual Information to Identify Cyber-Attacks
AlEroud, A., & Karabatis, G. (2017) · Studies in Computational Intelligence · doi:10.1007/978-3-319-44257-0_1 · Cited by 12
Metadata
- Authors
- Debar, H., Dacier, M., & Wespi, A.
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 1999-04
- Volume
- 31
- Issue
- 8
- Pages
- 805-822
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W1994212840
- Cited by
- 829
- References
- 1
- FWCI
- 28.11
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Towards a taxonomy of intrusion-detection systems. https://app.cochat.ai/papers/10.1016/s1389-1286(98)00017-6
- The paper
- Debar, H., Dacier, M., & Wespi, A. (1999). Towards a taxonomy of intrusion-detection systems. Computer Networks. https://doi.org/10.1016/s1389-1286(98)00017-6
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.
