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Title |
A Framework for Predicting Security and Dependability Measures in Real-time |
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Author |
Karin Sallhammar, Bjarne E. Helvik, Svein J. Knapskog |
| Citation |
Vol. 7 No. 3 pp. 169-183 |
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Abstract |
The complex networked systems of today that our technological and social society relies upon are vulnerable to a large number of failures, accidental as well as intentional. Ideally, the service delivered by such a system should be both dependable and secure. This paper presents a framework for integrated security and dependability assessment. The proposed model is based on traditional stochastic analysis techniques, supported by live data from network sensors, which is used to estimate the current state and predict the future behavior of a system in real-time. The method is demonstrated by a small case study. |
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Keywords |
Stochastic modeling, integrating security and dependability, security measures, real-time prediction, hidden Markov models |
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