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IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012) (2012)
Boston, MA, USA USA
June 25, 2012 to June 28, 2012
ISSN: 1530-0889
ISBN: 978-1-4673-1624-8
pp: 1-12
Saman Zonouz , University of Miami, USA
Amir Houmansadr , University of Illinois, USA
Parisa Haghani , University of Illinois, USA
To protect complex power-grid control networks, efficient security assessment techniques are required. However, efficiently making sure that calculated security measures match the expert knowledge is a challenging endeavor. In this paper, we present EliMet, a framework that combines information from different sources and estimates the extent to which a control network meets its security objective. Initially, during an offline phase, a state-based model of the network is generated, and security-level of each state is measured using a generic and easy-to-compute metric. EliMet then passively observes system operators' online reactive behavior against security incidents, and accordingly refines the calculated security measure values. Finally, to make the values comply with the expert knowledge, EliMet actively queries operators regarding those states for which sufficient information was not gained during the passive observation. Our experimental results show that EliMet can optimally make use of prior knowledge as well as automated inference techniques to minimize human involvement and efficiently deduce the expert knowledge regarding individual states of that particular system.
situational awareness, Power grid critical infrastructure, intrusion detection and response, security metric

S. Zonouz, A. Houmansadr and P. Haghani, "EliMet: Security metric elicitation in power grid critical infrastructures by observing system administrators' responsive behavior," IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)(DSN), Boston, MA, USA USA, 2012, pp. 1-12.
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