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Title: Security Analysis of Selected AMI Failure Scenarios Using Agent Based Game Theoretic Simulation

Information security analysis can be performed using game theory implemented in dynamic Agent Based Game Theoretic (ABGT) simulations. Such simulations can be verified with the results from game theory analysis and further used to explore larger scale, real world scenarios involving multiple attackers, defenders, and information assets. We concentrated our analysis on the Advanced Metering Infrastructure (AMI) functional domain which the National Electric Sector Cyber security Organization Resource (NESCOR) working group has currently documented 29 failure scenarios. The strategy for the game was developed by analyzing five electric sector representative failure scenarios contained in the AMI functional domain. From these five selected scenarios, we characterize them into three specific threat categories affecting confidentiality, integrity and availability (CIA). The analysis using our ABGT simulation demonstrates how to model the AMI functional domain using a set of rationalized game theoretic rules decomposed from the failure scenarios in terms of how those scenarios might impact the AMI network with respect to CIA.
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  1. ORNL
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Resource Relation:
Conference: 2014 47th Annual Hawaii International Conference on System Sciences (HICSS-47), Waikoloa, Big Island, HI, USA, 20140106, 20140109
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Work for Others (WFO)
Country of Publication:
United States
Cyber Security Metrics; Risk Management; Information Security; Algorithms; Measurement; Performance; Design; Economics; Reliability; Experimentation; Security; Theory; Agent Based; Simulation; Game Theoretics; Verification