TY - JOUR
T1 - Locating and protecting facilities from intentional attacks using secrecy
AU - Zhang, Chi
AU - Ramirez-Marquez, José Emmanuel
AU - Li, Qing
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/1
Y1 - 2018/1
N2 - To preserve continued effective performance of facilities, their protection against intentional attacks needs to be considered while determining optimal facility location solutions. We propose a simultaneous game between a defender and an attacker to study facility protection against intentional attacks while keeping the information about protection resource allocation secret. To deal with the complexity of solving the proposed simultaneous game, we employ an algorithm with necessary adaptations to identify its mixed-strategy Nash equilibrium solution, which is used to evaluate the disruption inflicted by intentional attacks on the efficiency of a facility location solution. The facility location problem with protection against intentional attacks is then modeled as a multi-objective optimization problem, in order to balance the cost of opening facilities and the efficiency of facilities with and without facility failures inflicted by intentional attacks. MO-PSDA, a multi-objective evolutionary algorithm, is employed to solve the proposed multi-objective optimization problem.
AB - To preserve continued effective performance of facilities, their protection against intentional attacks needs to be considered while determining optimal facility location solutions. We propose a simultaneous game between a defender and an attacker to study facility protection against intentional attacks while keeping the information about protection resource allocation secret. To deal with the complexity of solving the proposed simultaneous game, we employ an algorithm with necessary adaptations to identify its mixed-strategy Nash equilibrium solution, which is used to evaluate the disruption inflicted by intentional attacks on the efficiency of a facility location solution. The facility location problem with protection against intentional attacks is then modeled as a multi-objective optimization problem, in order to balance the cost of opening facilities and the efficiency of facilities with and without facility failures inflicted by intentional attacks. MO-PSDA, a multi-objective evolutionary algorithm, is employed to solve the proposed multi-objective optimization problem.
KW - Facility location
KW - Intentional attacks
KW - Multi-objective optimization
KW - Secrecy
KW - Simultaneous game
UR - http://www.scopus.com/inward/record.url?scp=85026886925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026886925&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2017.08.005
DO - 10.1016/j.ress.2017.08.005
M3 - Article
AN - SCOPUS:85026886925
SN - 0951-8320
VL - 169
SP - 51
EP - 62
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
ER -