We propose, to the best of our knowledge, the first Security Game where a Defender is supported by a spatially uncertain alarm system which non-deterministically generates signals once a target is under attack. Spatial uncertainty is common when securing large environments, e.g., for wildlife protection. We show that finding the equilibrium for this game is FNP-hard even in the zero-sum case and we provide both an exact algorithm and a heuristic algorithm to deal with it. Without false positives and missed detections, the best patrolling strategy reduces to stay in a place, wait for a signal, and respond to it at best. This strategy is optimal even with non-negligible missed detection rates.

A security game model for environment protection in the presence of an alarm system / N. Basilico, G. De Nittis, N. Gatti (LECTURE NOTES IN COMPUTER SCIENCE). - In: Decision and game theory for security / [a cura di] M.H.R. Khouzani, E. Panaousis, G.Theodorakopoulos. - [s.l] : Springer Verlag, 2015. - ISBN 9783319255934. - pp. 192-207 (( Intervento presentato al 6. convegno International Conference on Decision and Game Theory for Security, GameSec tenutosi a London nel 2015 [10.1007/978-3-319-25594-1_11].

A security game model for environment protection in the presence of an alarm system

N. Basilico
Primo
;
2015

Abstract

We propose, to the best of our knowledge, the first Security Game where a Defender is supported by a spatially uncertain alarm system which non-deterministically generates signals once a target is under attack. Spatial uncertainty is common when securing large environments, e.g., for wildlife protection. We show that finding the equilibrium for this game is FNP-hard even in the zero-sum case and we provide both an exact algorithm and a heuristic algorithm to deal with it. Without false positives and missed detections, the best patrolling strategy reduces to stay in a place, wait for a signal, and respond to it at best. This strategy is optimal even with non-negligible missed detection rates.
Computer Science (all); Theoretical Computer Science
Settore INF/01 - Informatica
2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/454890
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