In 2005 a survivable system we built was subjected to red-team evaluation. Analyzing, interpreting, and responding to the defense mechanism reports took a room of developers. In May 2008 we took part in another red-team exercise. During this exercise an autonomous reasoning engine took the place of the room of developers. Our reasoning engine uses anomaly and specification-based approaches to autonomously decide if system and mission availability is in jeopardy, and take necessary corrective actions. This extended abstract presents a brief summary of the reasoning capability we developed: how it categorizes the data into an internal representation and how it uses deductive and coherence based reasoning to decide whether a response is warranted. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Rubel, P., Pal, P., Atighetchi, M., Benjamin, D. P., & Webber, F. (2008). Anomaly and specification based cognitive approach for mission-level detection and response. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5230 LNCS, pp. 408–409). https://doi.org/10.1007/978-3-540-87403-4_30
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