{"id":{"repo_id":"unm","oai_identifier":"oai:digitalrepository.unm.edu:cs_etds-1070"},"canonical_url":"https://search.dev.ndltd.org/etd/unm/oai:digitalrepository.unm.edu:cs_etds-1070","repository":{"repo_id":"unm","name":"University of New Mexico","base_url":"https://digitalrepository.unm.edu/do/oai/"},"display":{"title":"Dominion: A Game of Information Exploitation","abstract":"FlipIt is an abstract cyber-security game published in 2012 to investigate optimal strategies for managing security resources in response to Advanced Persistent Threats. In this thesis, we place FlipIt within a more general category of 'stealthy move' games, and provide an approach towards solving such games. We produce a new stealthy move game, 'Dominion', and derive Nash equilibria for it. We establish bounds for the optimal rates of play and benefits for FlipIt, and show that the best strategy to apply to real cyber security threats includes presenting a credible threat to potential players. We also explore the effects of initial game information asymmetry in Dominion.","abstract_html":"FlipIt is an abstract cyber-security game published in 2012 to investigate optimal strategies for managing security resources in response to Advanced Persistent Threats. In this thesis, we place FlipIt within a more general category of 'stealthy move' games, and provide an approach towards solving such games. We produce a new stealthy move game, 'Dominion', and derive Nash equilibria for it. We establish bounds for the optimal rates of play and benefits for FlipIt, and show that the best strategy to apply to real cyber security threats includes presenting a credible threat to potential players. We also explore the effects of initial game information asymmetry in Dominion.","abstract_has_math":false,"creators":["Hobbs, Jacob"],"institution":null,"degree_name":"Computer Science","degree_level":"Thesis","degree_discipline":"Department of Computer Science","degree_department":null,"school":null,"contributors":["Estrada, Trilce","Forrest, Stephanie","Verzi, Stephen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-05-01T07:00:00Z","date_published":"2015-05-01T07:00:00Z","updated_at":"2026-07-24T05:26:07Z","subjects":["FlipIt","cyber security","game theory","stealthy move game"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalrepository.unm.edu/cs_etds/71"],"render_values":[{"text":"https://digitalrepository.unm.edu/cs_etds/71","href":"https://digitalrepository.unm.edu/cs_etds/71","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/1928/27935","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Estrada, Trilce","Forrest, Stephanie","Verzi, Stephen"]},{"key":"dc:creator","label":"Author","values":["Hobbs, Jacob"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis","Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["FlipIt","cyber security","game theory","stealthy move game"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/1928/27935","https://digitalrepository.unm.edu/cs_etds/71"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["FlipIt is an abstract cyber-security game published in 2012 to investigate optimal strategies for managing security resources in response to Advanced Persistent Threats. In this thesis, we place FlipIt within a more general category of 'stealthy move' games, and provide an approach towards solving such games. We produce a new stealthy move game, 'Dominion', and derive Nash equilibria for it. We establish bounds for the optimal rates of play and benefits for FlipIt, and show that the best strategy to apply to real cyber security threats includes presenting a credible threat to potential players. We also explore the effects of initial game information asymmetry in Dominion."]},{"key":"dc:title","label":"Title","values":["Dominion: A Game of Information Exploitation"]}]}],"canonical_facts":{"dc:contributor":["Estrada, Trilce","Forrest, Stephanie","Verzi, Stephen"],"dc:creator":["Hobbs, Jacob"],"dc:description.abstract":["FlipIt is an abstract cyber-security game published in 2012 to investigate optimal strategies for managing security resources in response to Advanced Persistent Threats. In this thesis, we place FlipIt within a more general category of 'stealthy move' games, and provide an approach towards solving such games. We produce a new stealthy move game, 'Dominion', and derive Nash equilibria for it. We establish bounds for the optimal rates of play and benefits for FlipIt, and show that the best strategy to apply to real cyber security threats includes presenting a credible threat to potential players. We also explore the effects of initial game information asymmetry in Dominion."],"dc:identifier":["http://hdl.handle.net/1928/27935","https://digitalrepository.unm.edu/cs_etds/71"],"dc:language":["English"],"dc:subject":["FlipIt","cyber security","game theory","stealthy move game"],"dc:title":["Dominion: A Game of Information Exploitation"],"thesis:degree_discipline":["Department of Computer Science"],"thesis:degree_level":["Thesis","Masters"],"thesis:degree_name":["Computer Science"]},"updated_at":"2026-07-24T05:26:07Z"}