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Experimenting with quantitative evaluation tools for monitoring operational security
Abstract
This paper presents the results of an experiment in security evaluation. The system is modeled as a privilege graph that exhibits its security vulnerabilities. Quantitative measures that estimate the effort an attacker might expend to exploit these vulnerabilities to defeat the system security objectives are proposed. A set of tools has been developed to compute such measures and has been used in an experiment to monitor a large real system for nearly two years. The experimental results are presented and the validity of the measures is discussed. Finally, the practical usefulness of such tools for operational security monitoring is shown and a comparison with other existing approaches is given.
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Citations
Cited by
A graph-based system for network-vulnerability analysis
Phillips, C., & Swiler, L. P. (1998) · Proceedings of the 1998 workshop on New security paradigms · doi:10.1145/310889.310919 · Cited by 828
A Survey on Systems Security Metrics
Pendleton, M., Garcia-Lebron, R., Cho, J.-H., & Xu, S. (2017) · ACM Computing Surveys · doi:10.1145/3005714 · Cited by 283
Quantified security is a weak hypothesis: a critical survey of results and assumptions
Verendel, V. (2009) · Proceedings of the 2009 workshop on New security paradigms workshop · doi:10.1145/1719030.1719036 · Cited by 180
Model-based Security Metrics Using ADversary VIew Security Evaluation (ADVISE)
LeMay, E., Ford, M. D., Keefe, K., Sanders, W. H., & Muehrcke, C. (2011) · 2011 Eighth International Conference on Quantitative Evaluation of SysTems · doi:10.1109/qest.2011.34 · Cited by 128
Metadata
- Authors
- Ortalo, R., Deswarte, Y., & Kaaniche, M.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1999
- Volume
- 25
- Issue
- 5
- Pages
- 633-650
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2141289698
- Cited by
- 404
- References
- 0
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Experimenting with quantitative evaluation tools for monitoring operational security. https://app.cochat.ai/papers/10.1109/32.815323
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- Ortalo, R., Deswarte, Y., & Kaaniche, M. (1999). Experimenting with quantitative evaluation tools for monitoring operational security. IEEE Transactions on Software Engineering. https://doi.org/10.1109/32.815323
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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.
