Title :
State-Based Analysis in ADVISE
Author :
Ford, Michael D. ; Buchholz, Peter ; Sanders, William H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
There is an increasing need for quantitative security metrics to empower the decision-making of system architects and administrators. We previously defined the ADVISE method, which combines a state-based security model and an adversary profile to generate quantitative metrics through simulation. Since simulation is often costly, particularly when applied to the analysis of rare events like successful attacks against a system, we extend the analysis methods of ADVISE to Markov chain analysis techniques that enable the efficient and accurate computation of a wide variety of quantitative security measures. With these analysis approaches, it is possible to extend the type of metrics available when using the ADVISE method while lifting previous restrictions placed on the adversary profile.
Keywords :
Markov processes; decision making; security of data; ADVISE method; Markov chain analysis techniques; adversary profile; adversary view security evaluation; decision making; quantitative security metrics; rare events analysis; state-based security model; Computational modeling; Cost accounting; History; Markov processes; Measurement; Numerical models; Security; Numerical methods; Quantitative analysis; Security;
Conference_Titel :
Quantitative Evaluation of Systems (QEST), 2012 Ninth International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4673-2346-8
Electronic_ISBN :
978-0-7695-4781-7
DOI :
10.1109/QEST.2012.36