TY  - GEN
N2  - This book constitutes the refereed proceedings of the 13th International Conference on Decision and Game Theory for Security, GameSec 2022, held in October 2022 in Pittsburgh, PA, USA. The 15 full papers presented were carefully reviewed and selected from 39 submissions. The papers are grouped thematically on: deception in security; planning and learning in dynamic environments; security games; adversarial learning and optimization; novel applications and new game models.
DO  - 10.1007/978-3-031-26369-9
DO  - doi
AB  - This book constitutes the refereed proceedings of the 13th International Conference on Decision and Game Theory for Security, GameSec 2022, held in October 2022 in Pittsburgh, PA, USA. The 15 full papers presented were carefully reviewed and selected from 39 submissions. The papers are grouped thematically on: deception in security; planning and learning in dynamic environments; security games; adversarial learning and optimization; novel applications and new game models.
T1  - Decision and game theory for security :13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings /
DA  - 2023.
CY  - Cham :
AU  - Fang, Fei,
AU  - Xu, Haifeng.
AU  - Hayel, Yezekael.
VL  - 13727
CN  - QA76.9.A25
PB  - Springer,
PP  - Cham :
PY  - 2023.
N1  - 2.3 The Markov Game Model for MTD
N1  - Includes author index.
ID  - 1454570
KW  - Computer security
KW  - Game theory
SN  - 9783031263699
SN  - 3031263693
TI  - Decision and game theory for security :13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26369-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26369-9
ER  -