TY - GEN
T1 - A cyber-security investment game for networked control systems
AU - Shukla, Pratishtha
AU - Chakrabortty, Aranya
AU - Duel-Hallen, Alexandra
N1 - Publisher Copyright:
© 2019 American Automatic Control Council.
PY - 2019/7
Y1 - 2019/7
N2 - We formulate a resource-planning game between an attacker and a defender of a Network Control System (NCS). We consider the network to be operating in closed-loop with a linear quadratic regulator (LQR). We construct a general-sum, two-player, mixed strategy (MS) game, where the attacker attempts to destroy communication equipment of some nodes, and thereby render the LQR feedback gain matrix to be sparse, leading to degradation of closed-loop performance. The defender, on the other hand, aims to prevent this loss. Both players trade their control performance objectives for the cost of their actions. A Mixed Strategy Nash Equilibrium (MSNE) of the game represents the allocation of the players' respective resources for attacking or protecting the important network nodes. Numerical results for the New England power system model demonstrate that reliable defense is feasible unless the cost of attack is much smaller than the cost of protection per generator.
AB - We formulate a resource-planning game between an attacker and a defender of a Network Control System (NCS). We consider the network to be operating in closed-loop with a linear quadratic regulator (LQR). We construct a general-sum, two-player, mixed strategy (MS) game, where the attacker attempts to destroy communication equipment of some nodes, and thereby render the LQR feedback gain matrix to be sparse, leading to degradation of closed-loop performance. The defender, on the other hand, aims to prevent this loss. Both players trade their control performance objectives for the cost of their actions. A Mixed Strategy Nash Equilibrium (MSNE) of the game represents the allocation of the players' respective resources for attacking or protecting the important network nodes. Numerical results for the New England power system model demonstrate that reliable defense is feasible unless the cost of attack is much smaller than the cost of protection per generator.
KW - Cyber-security investment game
KW - Mixed strategy nash equilibrium
KW - Resource allocation
UR - http://www.scopus.com/inward/record.url?scp=85072288363&partnerID=8YFLogxK
U2 - 10.23919/acc.2019.8815018
DO - 10.23919/acc.2019.8815018
M3 - Conference contribution
AN - SCOPUS:85072288363
T3 - Proceedings of the American Control Conference
SP - 2297
EP - 2302
BT - 2019 American Control Conference, ACC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 American Control Conference, ACC 2019
Y2 - 10 July 2019 through 12 July 2019
ER -