TY - GEN
T1 - On defense strategies for system of systems using aggregated correlations
AU - Rao, Nageswara S.V.
AU - Imam, Neena
AU - Ma, Chris Y.T.
AU - Hausken, Kjell
AU - He, Fei
AU - Zhuang, Jun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/26
Y1 - 2017/5/26
N2 - We consider a System of Systems (SoS) wherein each system Si, i = 1, 2,⋯, N, is composed of discrete cyber and physical components which can be attacked and reinforced. We characterize the disruptions using aggregate failure correlation functions given by the conditional failure probability of SoS given the failure of an individual system. We formulate the problem of ensuring the survival of SoS as a game between an attacker and a provider, each with a utility function composed of a survival probability term and a cost term, both expressed in terms of the number of components attacked and reinforced. The survival probabilities of systems satisfy simple product-form, first-order differential conditions, which simplify the Nash Equilibrium (NE) conditions. We derive the sensitivity functions that highlight the dependence of SoS survival probability at NE on cost terms, correlation functions, and individual system survival probabilities. We apply these results to a simplified model of distributed cloud computing infrastructure.
AB - We consider a System of Systems (SoS) wherein each system Si, i = 1, 2,⋯, N, is composed of discrete cyber and physical components which can be attacked and reinforced. We characterize the disruptions using aggregate failure correlation functions given by the conditional failure probability of SoS given the failure of an individual system. We formulate the problem of ensuring the survival of SoS as a game between an attacker and a provider, each with a utility function composed of a survival probability term and a cost term, both expressed in terms of the number of components attacked and reinforced. The survival probabilities of systems satisfy simple product-form, first-order differential conditions, which simplify the Nash Equilibrium (NE) conditions. We derive the sensitivity functions that highlight the dependence of SoS survival probability at NE on cost terms, correlation functions, and individual system survival probabilities. We apply these results to a simplified model of distributed cloud computing infrastructure.
UR - https://www.scopus.com/pages/publications/85021411336
U2 - 10.1109/SYSCON.2017.7934817
DO - 10.1109/SYSCON.2017.7934817
M3 - Conference contribution
AN - SCOPUS:85021411336
T3 - 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
BT - 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Annual IEEE International Systems Conference, SysCon 2017
Y2 - 24 April 2017 through 27 April 2017
ER -