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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Shaw, J.J. | 
| Copyright Year | 2003 | 
| Abstract | Measures to safeguard or respond to a cyber attack against a BMC/sup 3/ enterprise will invariably disrupt the missions supported by that system. We would like to predict the impacts of those disruptions beforehand and select information assurance measures that minimize the disruptions, especially to key BMC/sup 3/ functions. In this paper we present an analysis method based on perturbation analysis. We develop a workflow model for the BMC/sup 3/ functions that an enterprise conducts. We record representative processing histories for those functions under nominal conditions. We evaluate off-nominal conditions using an improved form of Cassandras' (1993) path reconstruction analysis. Initial computational results are encouraging, and indicate that this method predicts off-nominal performance with a high degree of fidelity, and is substantially faster than discrete-event simulation. | 
| Sponsorship | DARPA | 
| Starting Page | 208 | 
| Ending Page | 213 | 
| File Size | 662607 | 
| Page Count | 6 | 
| File Format | |
| ISBN | 0769518974 | 
| DOI | 10.1109/DISCEX.2003.1194967 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2003-04-22 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Computer crime High performance computing Military computing Control systems Calibration Time factors History Discrete event simulation Communication system control Performance analysis | 
| Content Type | Text | 
| Resource Type | Article | 
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