The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Use of K-Nearest Neighbor classifier for intrusion detection
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Citations
Cites
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
Evaluating intrusion detection systems: the 1998 DARPA off-line intrusion detection evaluation
Lippmann, R. P., Fried, D. J., Graf, I., Haines, J. W., Kendall, K. R., McClung, D., Weber, D., Webster, S. E., Wyschogrod, D., Cunningham, R. K., et al. (2002) · Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00 · doi:10.1109/discex.2000.821506 · Cited by 917
A sense of self for Unix processes
Forrest, S., Hofmeyr, S. A., Somayaji, A., & Longstaff, T. A. (2002) · Proceedings 1996 IEEE Symposium on Security and Privacy · doi:10.1109/secpri.1996.502675 · Cited by 874
Forrest, S., Hofmeyr, S. A., & Somayaji, A. (1997) · Communications of the ACM · doi:10.1145/262793.262811 · Cited by 848
Intrusion Detection Systems: A Survey and Taxonomy
Axelsson, S. (2002) · Cited by 775
The base-rate fallacy and the difficulty of intrusion detection
Axelsson, S. (2000) · ACM Transactions on Information and System Security · doi:10.1145/357830.357849 · Cited by 638
Gauging Similarity with n -Grams: Language-Independent Categorization of Text
Damashek, M. (1995) · Science · doi:10.1126/science.267.5199.843 · Cited by 534
Learning Program Behavior Profiles for Intrusion Detection
Ghosh, A. K., Schwartzbard, A., & Schatz, M. X. (1999) · Cited by 399
Yang, Y. (1994) · Springer eBooks · doi:10.1007/978-1-4471-2099-5_2 · Cited by 386
A Database of Computer Attacks for the Evaluation of Intrusion Detection Systems
Kendall, K. R. (1999) · Cited by 375
Cited by
Anomaly-based network intrusion detection: Techniques, systems and challenges
García-Teodoro, P., Díaz-Verdejo, J., Maciá-Fernández, G., & Vázquez, E. (2009) · Computers & Security · doi:10.1016/j.cose.2008.08.003 · Cited by 2,085
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2988293 · Cited by 1,392
Intrusion detection by machine learning: A review
Tsai, C.-F., Hsu, Y.-F., Lin, C.-Y., & Lin, W.-Y. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.05.029 · Cited by 969
Enhanced Network Anomaly Detection Based on Deep Neural Networks
Naseer, S., Saleem, Y., Khalid, S., Bashir, M. K., Han, J., Iqbal, M. M., & Han, K. (2018) · IEEE Access · doi:10.1109/access.2018.2863036 · Cited by 507
An experimental analysis of attack classification using machine learning in IoT networks
Churcher, A., Ullah, R., Ahmad, J., ur Rehman, S., Masood, F., Gogate, M., Alqahtani, F., Nour, B., & Buchanan, W. J. (2021) · Sensors · doi:10.3390/s21020446 · Cited by 439
Metadata
- Authors
- Liao, Y., & Vemuri, V. R.
- Venue
- Computers & Security
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 21
- Issue
- 5
- Pages
- 439-448
- ISSN
- 0167-4048 (ISSN-L)
- OpenAlex
- W1977838479
- Cited by
- 802
- References
- 11
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liao, Y., & Vemuri, V. R. (2002). Use of K-Nearest Neighbor classifier for intrusion detection. Computers & Security. https://doi.org/10.1016/s0167-4048(02)00514-x
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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.