{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:48:11Z","timestamp":1761490091826,"version":"3.41.0"},"reference-count":18,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2016,9,6]],"date-time":"2016-09-06T00:00:00Z","timestamp":1473120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGecom Exch."],"published-print":{"date-parts":[[2016,9,6]]},"abstract":"<jats:p>In the past decade, game-theoretic applications have been successfully deployed in the real world to address security resource allocation challenges. Inspired by the success, researchers have begun focusing on applying game theory to green security domains such as protection of forests, fish, and wildlife, forming a stream of research on Green Security Games (GSGs). We provide an overview of recent advances in GSGs and list the challenges that remained open for future study.<\/jats:p>","DOI":"10.1145\/2994501.2994507","type":"journal-article","created":{"date-parts":[[2016,9,6]],"date-time":"2016-09-06T12:48:51Z","timestamp":1473166131000},"page":"78-83","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Green security games"],"prefix":"10.1145","volume":"15","author":[{"given":"Fei","family":"Fang","sequence":"first","affiliation":[{"name":"University of Southern California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanh H.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Southern California"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,9,6]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978721.1978729"},{"key":"e_1_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Fang F. Jiang A. X. and Tambe M. 2013. Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources. In AAMAS.   Fang F. Jiang A. X. and Tambe M. 2013. Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources. In AAMAS .","DOI":"10.1613\/jair.4027"},{"volume-title":"Proceedings of the Twenty-Eighth Innovative Applications of Artificial Intelligence Conference (IAAI","year":"2016","author":"Fang F.","key":"e_1_2_1_3_1"},{"volume-title":"International Joint Conference on Artificial Intelligence (IJCAI).","author":"Fang F.","key":"e_1_2_1_4_1"},{"volume-title":"IJCAI'16","author":"Haghtalab N.","key":"e_1_2_1_5_1"},{"key":"e_1_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Haskell W. B. Kar D. Fang F. Tambe M. Cheung S. and Denicola L. E. 2014. Robust protection of fisheries with COmPASS. In IAAI.   Haskell W. B. Kar D. Fang F. Tambe M. Cheung S. and Denicola L. E. 2014. Robust protection of fisheries with COmPASS. In IAAI .","DOI":"10.1609\/aaai.v28i2.19018"},{"volume-title":"International Conference on Autonomous Agents and Multiagent Systems (AAMAS","year":"2015","author":"Kar D.","key":"e_1_2_1_7_1"},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Mc Carthy S. Tambe M. Kiekintveld C. Gore M. L. and Killion A. 2016. Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. In AAAI Computational Sustainability Track.  Mc Carthy S. Tambe M. Kiekintveld C. Gore M. L. and Killion A. 2016. Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. In AAAI Computational Sustainability Track .","DOI":"10.1609\/aaai.v30i1.9904"},{"volume-title":"Conference on Decision and Game Theory for Security.","author":"Nguyen T. H.","key":"e_1_2_1_9_1"},{"volume-title":"15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).","author":"Nguyen T. H.","key":"e_1_2_1_10_1"},{"volume-title":"Analyzing the Effectiveness of Adversary Modeling in Security Games. In Conference on Artificial Intelligence (AAAI).","author":"Nguyen T. H.","key":"e_1_2_1_11_1"},{"key":"e_1_2_1_12_1","unstructured":"Pita J. Jain M. Western C. Portway C. Tambe M. Ordonez F. Kraus S. and Paruchuri P. 2008. Deployed ARMOR protection: The application of a game theroetic model for security at the Los Angeles International Airport. In AAMAS.   Pita J. Jain M. Western C. Portway C. Tambe M. Ordonez F. Kraus S. and Paruchuri P. 2008. Deployed ARMOR protection: The application of a game theroetic model for security at the Los Angeles International Airport. In AAMAS ."},{"key":"e_1_2_1_13_1","unstructured":"Pita J. John R. Maheswaran R. Tambe M. and Kraus S. 2012. A Robust Approach to Addressing Human Adversaries in Security Games. In In ECAI.  Pita J. John R. Maheswaran R. Tambe M. and Kraus S. 2012. A Robust Approach to Addressing Human Adversaries in Security Games. In In ECAI ."},{"volume-title":"Restless Poachers: Handling Exploration-Exploitation Tradeoffs in Security Domains. In AAMAS'16","year":"2016","author":"Qian Y.","key":"e_1_2_1_14_1"},{"volume-title":"Learning Adversary Behavior in Security Games: A PAC Model Perspective. In AAMAS'16","author":"Sinha A.","key":"e_1_2_1_15_1"},{"key":"e_1_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Tambe M. 2011. Security and Game Theory: Algorithms Deployed Systems Lessons Learned. Cambridge University Press.   Tambe M. 2011. Security and Game Theory: Algorithms Deployed Systems Lessons Learned . Cambridge University Press.","DOI":"10.1017\/CBO9780511973031"},{"key":"e_1_2_1_17_1","unstructured":"Yang R. Ford B. Tambe M. and Lemieux A. 2014. Adaptive Resource Allocation for Wildlife Protection against Illegal Poachers. In AAMAS.   Yang R. Ford B. Tambe M. and Lemieux A. 2014. Adaptive Resource Allocation for Wildlife Protection against Illegal Poachers. In AAMAS ."},{"volume-title":"AAMAS'12","author":"Yang R.","key":"e_1_2_1_18_1"}],"container-title":["ACM SIGecom Exchanges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2994501.2994507","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2994501.2994507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:41Z","timestamp":1750217981000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2994501.2994507"}},"subtitle":["apply game theory to addressing green security challenges"],"short-title":[],"issued":{"date-parts":[[2016,9,6]]},"references-count":18,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,9,6]]}},"alternative-id":["10.1145\/2994501.2994507"],"URL":"https:\/\/doi.org\/10.1145\/2994501.2994507","relation":{},"ISSN":["1551-9031"],"issn-type":[{"type":"electronic","value":"1551-9031"}],"subject":[],"published":{"date-parts":[[2016,9,6]]},"assertion":[{"value":"2016-09-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}