TY - GEN
T1 - Defense strategies for multi-site cloud computing server infrastructures
AU - Rao, Nageswara S.V.
AU - Ma, Chris Y.T.
AU - He, Fei
N1 - Publisher Copyright:
© 2018 ACM. 978-1-4503-6372-3/18/01. . . $15.00.
PY - 2018/1/4
Y1 - 2018/1/4
N2 - We consider cloud computing server infrastructures for big data applications, which consist of multiple server sites connected over a wide-Area network. These sites house a number of servers, network elements and local-Area connections, and the wide-Area network plays a critical, asymmetric role of providing the vital connectivity between them.We model this infrastructure as a system of systems, wherein the sites and wide-Area network are represented by their cyber and physical components. These components can be disabled by cyber and physical attacks, and also can be protected against them using component reinforcements. The effects of attacks propagate within the individual systems, and also beyond them via the wide-Area network.We characterize these effects using correlations at two levels using: (a) aggregate failure correlation function that specifies the infrastructure failure probability given the failure of an individual site or network, and (b) first-order differential conditions on system survival probabilities that characterize the componentlevel correlations within individual systems. We formulate a game between an attacker and a provider using utility functions composed of survival probability and cost terms. At Nash Equilibrium, we derive expressions for the expected capacity of the infrastructure given by the number of operational servers connected to the network, using the sum-form, product-form and composite utility functions.
AB - We consider cloud computing server infrastructures for big data applications, which consist of multiple server sites connected over a wide-Area network. These sites house a number of servers, network elements and local-Area connections, and the wide-Area network plays a critical, asymmetric role of providing the vital connectivity between them.We model this infrastructure as a system of systems, wherein the sites and wide-Area network are represented by their cyber and physical components. These components can be disabled by cyber and physical attacks, and also can be protected against them using component reinforcements. The effects of attacks propagate within the individual systems, and also beyond them via the wide-Area network.We characterize these effects using correlations at two levels using: (a) aggregate failure correlation function that specifies the infrastructure failure probability given the failure of an individual site or network, and (b) first-order differential conditions on system survival probabilities that characterize the componentlevel correlations within individual systems. We formulate a game between an attacker and a provider using utility functions composed of survival probability and cost terms. At Nash Equilibrium, we derive expressions for the expected capacity of the infrastructure given by the number of operational servers connected to the network, using the sum-form, product-form and composite utility functions.
KW - Aggregated correlation function
KW - Cloud server infrastructure
KW - Game theory
KW - Nash Equilibrium
KW - Networked systems
KW - Product-form and composite utility functions
KW - Sum-form
UR - http://www.scopus.com/inward/record.url?scp=85041196037&partnerID=8YFLogxK
U2 - 10.1145/3154273.3154344
DO - 10.1145/3154273.3154344
M3 - Conference contribution
AN - SCOPUS:85041196037
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 19th International Conference on Distributed Computing and Networking, ICDCN 2018
PB - Association for Computing Machinery
T2 - 19th International Conference on Distributed Computing and Networking, ICDCN 2018
Y2 - 4 January 2018 through 7 January 2018
ER -