TY - JOUR
T1 - Sequential Attacker–Defender Game on Complex Networks Considering the Cascading Failure Process
AU - Huang, Yuxuan
AU - Wu, Jiajing
AU - Tse, Chi K.
AU - Zheng, Zibin
PY - 2022/4
Y1 - 2022/4
N2 - Cascading failure is a ubiquitous phenomenon that can paralyze networked systems in a short time. Many traditional studies of cascading failures have been conducted from the perspective of either an attacker or a defender. In reality, however, malicious attacks on networks are rarely a one-sided process. Instead, both the attacker and defender are actively involved. We use game theory to study the strategies of both sides in terms of an attacker-defender game on complex networks. Based on the concept of the Stackelberg competition, we propose a multi-round attacker-defender game model on complex networks, allowing high flexibility in the available actions for both sides in the game. The model we propose allows the two sides to specify certain parameters of the network to attack/defend and further allocate a certain amount of resources for the attack/defense. Such flexibility allows the model to capture the actions of the attackers and defenders more precisely and simulate the attack process in a more realistic manner. We propose an iterative search algorithm to search for desirable strategies with systematic experiments on various types of networks and associated parameters and in terms of different relative resource owned by the attacker and defender.
AB - Cascading failure is a ubiquitous phenomenon that can paralyze networked systems in a short time. Many traditional studies of cascading failures have been conducted from the perspective of either an attacker or a defender. In reality, however, malicious attacks on networks are rarely a one-sided process. Instead, both the attacker and defender are actively involved. We use game theory to study the strategies of both sides in terms of an attacker-defender game on complex networks. Based on the concept of the Stackelberg competition, we propose a multi-round attacker-defender game model on complex networks, allowing high flexibility in the available actions for both sides in the game. The model we propose allows the two sides to specify certain parameters of the network to attack/defend and further allocate a certain amount of resources for the attack/defense. Such flexibility allows the model to capture the actions of the attackers and defenders more precisely and simulate the attack process in a more realistic manner. We propose an iterative search algorithm to search for desirable strategies with systematic experiments on various types of networks and associated parameters and in terms of different relative resource owned by the attacker and defender.
KW - Cascading failure
KW - complex networks
KW - game theory
KW - Stackelberg competition
KW - STOCHASTIC-MODEL
KW - POWER GRIDS
KW - DYNAMICS
KW - VULNERABILITY
KW - ROBUSTNESS
KW - STRATEGIES
KW - RESILIENCE
UR - http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000732234900001
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85128156633&origin=recordpage
UR - http://www.scopus.com/inward/record.url?scp=85128156633&partnerID=8YFLogxK
U2 - 10.1109/TCSS.2021.3099718
DO - 10.1109/TCSS.2021.3099718
M3 - RGC 21 - Publication in refereed journal
SN - 2329-924X
VL - 9
SP - 518
EP - 529
JO - IEEE Transactions on Computational Social Systems
JF - IEEE Transactions on Computational Social Systems
IS - 2
ER -