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An Intrusion-Detection Model
Abstract
A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described. The model is based on the hypothesis that security violations can be detected by monitoring a system's audit records for abnormal patterns of system usage. The model includes profiles for representing the behavior of subjects with respect to objects in terms of metrics and statistical models, and rules for acquiring knowledge about this behavior from audit records and for detecting anomalous behavior. The model is independent of any particular system, application environment, system vulnerability, or type of intrusion, thereby providing a framework for a general-purpose intrusion-detection expert system.
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Citations
Cited by
Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541882 · Cited by 11,687
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
Intrusion detection using sequences of system calls
Hofmeyr, S. A., Forrest, S., & Somayaji, A. (1998) · Journal of Computer Security · doi:10.3233/jcs-980109 · Cited by 1,313
Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
Liu, H., & Lang, B. (2019) · Applied Sciences · doi:10.3390/app9204396 · Cited by 1,133
GenProg: A Generic Method for Automatic Software Repair
Le Goues, C., Nguyen, T., Forrest, S., & Weimer, W. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.104 · Cited by 1,085
Metadata
- Authors
- Denning, D. E.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1987-02
- Volume
- SE-13
- Issue
- 2
- Pages
- 222-232
- ISSN
- 0098-5589 (ISSN-L)
- 1939-3520
- 2326-3881
- OpenAlex
- W2150847526
- Cited by
- 3,427
- References
- 0
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Denning, D. E. (1987). An Intrusion-Detection Model. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.1987.232894
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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.
