DocumentCode :
1836365
Title :
FRIARS: a feedback control system for information assurance using a Markov decision process
Author :
McInerney, John ; Stubberud, S. Tephen ; Anwar, Shawn ; Hamilton, Simon
Author_Institution :
Orincon Corp., San Diego, CA, USA
fYear :
2001
fDate :
37165
Firstpage :
223
Lastpage :
228
Abstract :
The authors describe a prototype cyber-defense decision system for autonomously reacting to system attacks by using a Markov Decision Process (MDP), a simple game, and a weighted random culling from select actuators. The system is novel in that the amount of knowledge engineering to build the system is minimal, consisting of knowing the approximate false alarm rate of each of the sensors, the probability of failure for each of the actuators, and an estimate of cost associated with each actuator. A system of sensors and actuators can thus be built a priori and then deployed at the host or network level
Keywords :
Markov processes; decision support systems; feedback; game theory; security of data; FRIARS; MDP; Markov decision process; actuators; approximate false alarm rate; cost estimate; feedback control system; information assurance; knowledge engineering; network level; probability; prototype cyber-defense decision system; sensors; system attacks; weighted random culling; Actuators; Costs; Feedback control; Game theory; Intelligent agent; Knowledge engineering; Mobile agents; Prototypes; Reconnaissance; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 2001 IEEE 35th International Carnahan Conference on
Conference_Location :
London
Print_ISBN :
0-7803-6636-0
Type :
conf
DOI :
10.1109/.2001.962836
Filename :
962836
Link To Document :
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