The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
A multi-model approach to the detection of web-based attacks
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Citations
Cites
PE, & Billingsley, P. (1996) · Journal of the American Statistical Association · doi:10.2307/2291440 · Cited by 6,481
Depth-First Search and Linear Graph Algorithms
Tarjan, R. (1972) · SIAM Journal on Computing · doi:10.1137/0201010 · Cited by 6,081
Denning, D. E. (1987) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1987.232894 · Cited by 3,427
Snort - Lightweight Intrusion Detection for Networks
Roesch, M. (1999) · Cited by 3,163
Probability and Statistics for Engineers and Scientists.
Beckman, R. J., Walpole, R. E., & Meyers, R. H. (1973) · Journal of the American Statistical Association · doi:10.2307/2284195 · Cited by 2,835
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
Hypertext Transfer Protocol -- HTTP/1.1
Fielding, R., Gettys, J., Mogul, J., Frystyk, H., Masinter, L., Leach, P., & Berners-Lee, T. (1999) · doi:10.17487/rfc2616 · Cited by 1,218
A Sense of Self for Unix Processes
Forrest, S., Hofmeyr, S. A., Somayaji, A. B., & Longstaff, T. A. (1996) · Cited by 1,150
Detecting intrusions using system calls: alternative data models
Warrender, C., Forrest, S., & Pearlmutter, B. (2003) · Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No.99CB36344) · doi:10.1109/secpri.1999.766910 · Cited by 1,106
A framework for constructing features and models for intrusion detection systems
Lee, W., & Stolfo, S. J. (2000) · ACM Transactions on Information and System Security · doi:10.1145/382912.382914 · Cited by 974
Cited by
Detection and analysis of drive-by-download attacks and malicious JavaScript code
Cova, M., Kruegel, C., & Vigna, G. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772720 · Cited by 580
Self-citationToward Supervised Anomaly Detection
Goernitz, N., Kloft, M., Rieck, K., & Brefeld, U. (2013) · Journal of Artificial Intelligence Research · doi:10.1613/jair.3623 · Cited by 371
Metadata
- Authors
- Kruegel, C., Vigna, G., & Robertson, W.
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2005-08
- Volume
- 48
- Issue
- 5
- Pages
- 717-738
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2110523863
- Cited by
- 255
- References
- 37
- FWCI
- 20.05
- 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: A multi-model approach to the detection of web-based attacks. https://app.cochat.ai/papers/10.1016/j.comnet.2005.01.009
- The paper
- Kruegel, C., Vigna, G., & Robertson, W. (2005). A multi-model approach to the detection of web-based attacks. Computer Networks. https://doi.org/10.1016/j.comnet.2005.01.009
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.
