The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Toward developing a systematic approach to generate benchmark datasets for intrusion detection
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Citations
Cites
The origin of bursts and heavy tails in human dynamics
Barabási, A.-L. (2005) · Nature · doi:10.1038/nature03459 · Cited by 2,210
Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods
Tavallaee, M., Stakhanova, N., & Ghorbani, A. A. (2010) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2010.2048428 · Cited by 280
Self-citation
Cited by
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
Sharafaldin, I., Habibi Lashkari, A., & Ghorbani, A. A. (2018) · Proceedings of the 4th International Conference on Information Systems Security and Privacy · doi:10.5220/0006639801080116 · Cited by 5,318
Self-citationSurvey 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
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy
Sharafaldin, I., Lashkari, A. H., Hakak, S., & Ghorbani, A. A. (2019) · 2019 International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2019.8888419 · Cited by 1,275
Self-citationDeep Learning for Anomaly Detection: A Survey
Chalapathy, R., & Chawla, S. (2019) · arXiv · doi:10.48550/arxiv.1901.03407 · Cited by 1,240
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
Metadata
- Authors
- Shiravi, A., Shiravi, H., Tavallaee, M., & Ghorbani, A. A.
- Venue
- Computers & Security
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 31
- Issue
- 3
- Pages
- 357-374
- ISSN
- 0167-4048 (ISSN-L)
- OpenAlex
- W2031163547
- Cited by
- 1,345
- References
- 2
- FWCI
- 39.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Toward developing a systematic approach to generate benchmark datasets for intrusion detection. https://app.cochat.ai/papers/10.1016/j.cose.2011.12.012
- The paper
- Shiravi, A., Shiravi, H., Tavallaee, M., & Ghorbani, A. A. (2012). Toward developing a systematic approach to generate benchmark datasets for intrusion detection. Computers & Security. https://doi.org/10.1016/j.cose.2011.12.012
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.