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 \(\mathcal {FNP}\)–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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
As is customary, we assume that \(\mathcal {A}\) can instantly reach the target of its attack. This assumption can be easily relaxed as shown in [3].
References
An, B., Brown, M., Vorobeychik, Y., Tambe, M.: Security games with surveillance cost and optimal timing of attack execution. In: AAMAS, pp. 223–230 (2013)
Basilico, N., Gatti, N., Amigoni, F.: Patrolling security games: definition and algorithms for solving large instances with single patroller and single intruder. Artif. Intell. 184–185, 78–123 (2012)
Basilico, N., Gatti, N., Rossi, T.: Capturing augmented sensing capabilities and intrusion delay in patrolling-intrusion games. In: IEEE Symposium on Computational Intelligence and Games, CIG 2009, pp. 186–193, September 2009
Basilico, N., Carpin, S., Chung, T.: Distributed online patrolling with multi-agent teams of sentinels and searchers. In: DARS (2014)
Bellare, M., Goldwasser, S.: The complexity of decision versus search. SIAM J. Comput. 23(1), 97–119 (1994)
Blum, A., Haghtalab, N., Procaccia, A.D.: Lazy defenders are almost optimal against diligent attackers. In: AAAI, pp. 573–579 (2014)
Böckenhauer, H.J., Forlizzi, L., Hromkovič, J., Kneis, J., Kupke, J., Proietti, G., Widmayer, P.: Reusing optimal tsp solutions for locally modified input instances. In: IFIP TCS, pp. 251–270 (2006)
Munoz de Cote, E., Stranders, R., Basilico, N., Gatti, N., Jennings, N.: Introducing alarms in adversarial patrolling games. In: AAMAS, pp. 1275–1276 (2013)
Delle Fave, F.M., Jiang, A., Yin, Z., Zhang, C., Tambe, M., Kraus, S., Sullivan, J.P.: Game-theoretic patrolling with dynamic execution uncertainty and a case study on a real transit system. JAIR 50, 321–367 (2014)
Ford, B.J., Kar, D., Fave, F.M.D., Yang, R., Tambe, M.: PAWS: adaptive game-theoretic patrolling for wildlife protection. In: International conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2014, Paris, France, 5–9 May 2014, pp. 1641–1642 (2014)
Garcia-Sanchez, A.J., Garcia-Sanchez, F., Garcia-Haro, J.: Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops. Comput. Electron. Agric. 75(2), 288–303 (2011)
Jain, M., An, B., Tambe, M.: An overview of recent application trends at the AAMAS conference: security, sustainability, and safety. AI Mag. 33(3), 14–28 (2012)
Jain, M., Tsai, J., Pita, J., Kiekintveld, C., Rathi, S., Tambe, M., Ordóñez, F.: Software assistants for randomized patrol planning for the lax airport police and the federal air marshal service. Interfaces 40(4), 267–290 (2010)
Ko, B.C., Park, J.O., Nam, J.Y.: Spatiotemporal bag-of-features for early wildfire smoke detection. Image Vis. Comput. 31(10), 786–795 (2013)
Osborne, M.J.: An Introduction to Game Theory, vol. 3. Oxford University Press, New York (2004)
Paruchuri, P., Tambe, M., Ordóñez, F., Kraus, S.: Security in multiagent systems by policy randomization. In: AAMAS, pp. 273–280 (2006)
Savelsbergh, M.W.: Local search in routing problems with time windows. Ann. Oper. Res. 4(1), 285–305 (1985)
Von Stengel, B., Zamir, S.: Leadership with commitment to mixed strategies (2004)
Vorobeychik, Y., An, B., Tambe, M., Singh, S.P.: Computing solutions in infinite-horizon discounted adversarial patrolling games. In: Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2014, Portsmouth, New Hampshire, USA, 21–26 June 2014 (2014)
Yang, R., Ford, B., Tambe, M., Lemieux, A.: Adaptive resource allocation for wildlife protection against illegal poachers. In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (2014)
Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Comput. Netw. 52(12), 2292–2330 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Basilico, N., De Nittis, G., Gatti, N. (2015). A Security Game Model for Environment Protection in the Presence of an Alarm System. In: Khouzani, M., Panaousis, E., Theodorakopoulos, G. (eds) Decision and Game Theory for Security. GameSec 2015. Lecture Notes in Computer Science(), vol 9406. Springer, Cham. https://doi.org/10.1007/978-3-319-25594-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-25594-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25593-4
Online ISBN: 978-3-319-25594-1
eBook Packages: Computer ScienceComputer Science (R0)