{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/41634"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/41634","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Optimizing Aviation Security Architectures using the SAFE Model","abstract":"The Federal Aviation Administration (FAA) wishes to minimize the overall operational costs of their aviation security detection systems. These systems consist of a collection of security devices. The objective of this research is to develop an algorithm to design the optimal system of devices. The Secure Air Flight Effectiveness (SAFE) Model accomplishes this objective by using the probability of detection and the probability of giving a false alarm for each individual device. A Generalized Hill Climbing (GHC) algorithm was implemented to identify the system with the minimum operational cost. Suggestions for future research directions are also included.","abstract_html":"The Federal Aviation Administration (FAA) wishes to minimize the overall operational costs of their aviation security detection systems. These systems consist of a collection of security devices. The objective of this research is to develop an algorithm to design the optimal system of devices. The Secure Air Flight Effectiveness (SAFE) Model accomplishes this objective by using the probability of detection and the probability of giving a false alarm for each individual device. A Generalized Hill Climbing (GHC) algorithm was implemented to identify the system with the minimum operational cost. Suggestions for future research directions are also included.","abstract_has_math":false,"creators":["Savage, Cynthia Leigh"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Industrial and Systems Engineering","degree_department":"Industrial and Systems Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":["Koelling, C. Patrick","Kobza, John E."],"committee_members":["Jacobson, Sheldon H.","Bish, Ebru K."],"year":2003,"date_issued":"2003-03-03","date_published":"2003-03-03","updated_at":"2026-07-22T22:19:10Z","subjects":["probability theory","airport security","false clear","false alarm"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-03152003-190105"],"render_values":[{"text":"etd-03152003-190105","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/41634","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Koelling, C. Patrick","Kobza, John E."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Jacobson, Sheldon H.","Bish, Ebru K."]},{"key":"dc:contributor.department","label":"Department","values":["Industrial and Systems Engineering"]},{"key":"dc:creator","label":"Author","values":["Savage, Cynthia Leigh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-03-14T21:31:48Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-03-14T21:31:48Z","2004-03-19"]},{"key":"dc:date.issued","label":"Date","values":["2003-03-03"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial and Systems Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["probability theory","airport security","false clear","false alarm"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-03152003-190105"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/41634"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The Federal Aviation Administration (FAA) wishes to minimize the overall operational costs of their aviation security detection systems. These systems consist of a collection of security devices. The objective of this research is to develop an algorithm to design the optimal system of devices. The Secure Air Flight Effectiveness (SAFE) Model accomplishes this objective by using the probability of detection and the probability of giving a false alarm for each individual device. A Generalized Hill Climbing (GHC) algorithm was implemented to identify the system with the minimum operational cost. Suggestions for future research directions are also included."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:title","label":"Title","values":["Optimizing Aviation Security Architectures using the SAFE Model"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Koelling, C. Patrick","Kobza, John E."],"dc:contributor.committeemember":["Jacobson, Sheldon H.","Bish, Ebru K."],"dc:contributor.department":["Industrial and Systems Engineering"],"dc:creator":["Savage, Cynthia Leigh"],"dc:date.accessioned":["2014-03-14T21:31:48Z"],"dc:date.available":["2014-03-14T21:31:48Z","2004-03-19"],"dc:date.issued":["2003-03-03"],"dc:description.abstract":["The Federal Aviation Administration (FAA) wishes to minimize the overall operational costs of their aviation security detection systems. These systems consist of a collection of security devices. The objective of this research is to develop an algorithm to design the optimal system of devices. The Secure Air Flight Effectiveness (SAFE) Model accomplishes this objective by using the probability of detection and the probability of giving a false alarm for each individual device. A Generalized Hill Climbing (GHC) algorithm was implemented to identify the system with the minimum operational cost. Suggestions for future research directions are also included."],"dc:description.degree":["Master of Science"],"dc:identifier.other":["etd-03152003-190105"],"dc:identifier.uri":["http://hdl.handle.net/10919/41634"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["probability theory","airport security","false clear","false alarm"],"dc:title":["Optimizing Aviation Security Architectures using the SAFE Model"],"dc:type":["Thesis"],"thesis:degree_discipline":["Industrial and Systems Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:10Z"}