TY - GEN
T1 - A factored MDP approach to optimal mechanism design for resihent large-scale interdependent critical infrastructures
AU - Huang, Linan
AU - Chen, Juntao
AU - Zhu, Quanyan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/10
Y1 - 2017/10/10
N2 - Enhancing the security and resilience of interdependent infrastructures is crucial. In this paper, we establish a theoretical framework based on Markov decision processes (MDPs) to design optimal resiliency mechanisms for interdependent infrastructures. We use MDPs to capture the dynamics of the failure of constituent components of an infrastructure and their cyber-physical dependencies. Factored MDPs and approximate linear programming are adopted for an exponentially growing dimension of both state and action spaces. Under our approximation scheme, the optimally distributed policy is equivalent to the centralized one. Finally, case studies in a large-scale interdependent system demonstrate the effectiveness of the control strategy to enhance the network resilience to cascading failures.
AB - Enhancing the security and resilience of interdependent infrastructures is crucial. In this paper, we establish a theoretical framework based on Markov decision processes (MDPs) to design optimal resiliency mechanisms for interdependent infrastructures. We use MDPs to capture the dynamics of the failure of constituent components of an infrastructure and their cyber-physical dependencies. Factored MDPs and approximate linear programming are adopted for an exponentially growing dimension of both state and action spaces. Under our approximation scheme, the optimally distributed policy is equivalent to the centralized one. Finally, case studies in a large-scale interdependent system demonstrate the effectiveness of the control strategy to enhance the network resilience to cascading failures.
UR - http://www.scopus.com/inward/record.url?scp=85032879499&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032879499&partnerID=8YFLogxK
U2 - 10.1109/MSCPES.2017.8064531
DO - 10.1109/MSCPES.2017.8064531
M3 - Conference contribution
AN - SCOPUS:85032879499
T3 - 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings
BT - 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017
Y2 - 21 April 2017
ER -