Title :
Model-based troubleshooting for information survivability
Author_Institution :
Artificial Intelligence Lab., MIT, MA, USA
fDate :
6/22/1905 12:00:00 AM
Abstract :
To be survivable a system must be adaptable, able to respond to attacks and to achieve its goals. This paper considers one approach to adaptability, self-diagnosis and repair. We explore how ideas from the artificial intelligence community in model-based troubleshooting can be applied to this task and present a new method for self diagnosis which combines logical and statistical modeling and reasoning
Keywords :
fault tolerant computing; model-based reasoning; security of data; adaptability; artificial intelligence community; information survivability; model-based troubleshooting; reasoning; self-diagnosis and repair; statistical modeling; Adaptive systems; Artificial intelligence; Contracts; Costs; Electric breakdown; Information systems; Intrusion detection; Laboratories; Military computing; Robustness;
Conference_Titel :
DARPA Information Survivability Conference and Exposition, 2000. DISCEX '00. Proceedings
Conference_Location :
Hilton Head, SC
Print_ISBN :
0-7695-0490-6
DOI :
10.1109/DISCEX.2000.821523
