TY - GEN
T1 - A dynamic Bayesian security game framework for strategic defense mechanism design
AU - Farhang, Sadegh
AU - Manshaei, Mohammad Hossein
AU - Esfahani, Milad Nasr
AU - Zhu, Quanyan
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - In many security problems, service providers are basically unaware of the type of their clients. The client can potentially be an attacker who will launch an attack at any time during their connections to service providers. Our main goal is to provide a general framework for modeling security problems subject to different types of clients connected to service providers. We develop an incomplete information two-player game, to capture the interaction between the service provider (i.e., the server) and an unknown client. In particular, we consider two types of clients, i.e., attacker and benign clients. We analyze the game using perfect Bayesian Nash equilibrium (PBNE) with different conditions. We finally design an algorithm using the computed PBNE strategy profiles to find the best defense strategy.
AB - In many security problems, service providers are basically unaware of the type of their clients. The client can potentially be an attacker who will launch an attack at any time during their connections to service providers. Our main goal is to provide a general framework for modeling security problems subject to different types of clients connected to service providers. We develop an incomplete information two-player game, to capture the interaction between the service provider (i.e., the server) and an unknown client. In particular, we consider two types of clients, i.e., attacker and benign clients. We analyze the game using perfect Bayesian Nash equilibrium (PBNE) with different conditions. We finally design an algorithm using the computed PBNE strategy profiles to find the best defense strategy.
UR - http://www.scopus.com/inward/record.url?scp=84909992134&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-12601-2_18
DO - 10.1007/978-3-319-12601-2_18
M3 - Conference contribution
AN - SCOPUS:84909992134
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 319
EP - 328
BT - Decision and GameTheory for Security - 5th International Conference, GameSec 2014, Proceedings
A2 - Poovendran, Radha
A2 - Saad, Walid
PB - Springer Verlag
T2 - 5th International Conference on Decision and GameTheory for Security, GameSec 2014
Y2 - 6 November 2014 through 7 November 2014
ER -