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

Conference · Wed Jan 01 04:00:00 EST 2014

OSTI ID:1116485

Abercrombie, Robert K ^[1]; Schlicher, Bob G ^[1]; Sheldon, Frederick T ^[1]

---

1. ORNL

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.

• Research Organization: Oak Ridge National Laboratory (ORNL)
• Sponsoring Organization: ORNL work for others
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1116485
• Country of Publication: United States
• Language: English

Related Subjects

Agent Based
Algorithms
Cyber Security Metrics
Design
Economics
Experimentation
Game Theoretics
Information Security
Measurement
Performance
Reliability
Risk Management
Security
Simulation
Theory
Verification