{"id":"https://openalex.org/W3011487468","doi":"https://doi.org/10.1109/cdc40024.2019.9030279","title":"Protecting Assets with Heterogeneous Valuations under Behavioral Probability Weighting","display_name":"Protecting Assets with Heterogeneous Valuations under Behavioral Probability Weighting","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011487468","doi":"https://doi.org/10.1109/cdc40024.2019.9030279","mag":"3011487468"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9030279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9030279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007992878","display_name":"Mustafa Abdallah","orcid":"https://orcid.org/0000-0002-9554-9260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mustafa Abdallah","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091717833","display_name":"Parinaz Naghizadeh","orcid":"https://orcid.org/0000-0002-2277-1709"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parinaz Naghizadeh","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058646409","display_name":"Timothy N. Cason","orcid":"https://orcid.org/0000-0001-9581-5015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timothy Cason","raw_affiliation_strings":["Krannert School of Management, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Krannert School of Management, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047310442","display_name":"Saurabh Bagchi","orcid":"https://orcid.org/0000-0002-4239-5632"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saurabh Bagchi","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076731201","display_name":"Shreyas Sundaram","orcid":"https://orcid.org/0000-0002-5390-2505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shreyas Sundaram","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"5374","last_page":"5379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10994","display_name":"Terrorism, Counterterrorism, and Political Violence","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10994","display_name":"Terrorism, Counterterrorism, and Political Violence","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11838","display_name":"Crime, Illicit Activities, and Governance","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8586653470993042},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5507853031158447},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5376014113426208},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48756879568099976},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.4820626378059387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4609198570251465},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.43236014246940613},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.4289413094520569},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4177253842353821},{"id":"https://openalex.org/keywords/expected-value","display_name":"Expected value","score":0.4107821583747864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31264209747314453},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2328920066356659},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.21323972940444946},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.207369863986969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15019333362579346},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08631137013435364}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8586653470993042},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5507853031158447},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5376014113426208},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48756879568099976},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4820626378059387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4609198570251465},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.43236014246940613},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.4289413094520569},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4177253842353821},{"id":"https://openalex.org/C141042865","wikidata":"https://www.wikidata.org/wiki/Q200125","display_name":"Expected value","level":2,"score":0.4107821583747864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31264209747314453},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2328920066356659},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.21323972940444946},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.207369863986969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15019333362579346},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08631137013435364},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc40024.2019.9030279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9030279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1592657892","https://openalex.org/W1967820237","https://openalex.org/W1989706342","https://openalex.org/W2017809722","https://openalex.org/W2045006695","https://openalex.org/W2056075452","https://openalex.org/W2099161251","https://openalex.org/W2240450792","https://openalex.org/W2399439481","https://openalex.org/W2579603034","https://openalex.org/W2592577925","https://openalex.org/W2605381169","https://openalex.org/W2740797755","https://openalex.org/W2772649202","https://openalex.org/W2784170551","https://openalex.org/W2963405846","https://openalex.org/W2972968736","https://openalex.org/W3011865677","https://openalex.org/W3099348979","https://openalex.org/W3100092374","https://openalex.org/W6606971471","https://openalex.org/W6733845386","https://openalex.org/W6746110305"],"related_works":["https://openalex.org/W83893804","https://openalex.org/W2178649091","https://openalex.org/W2353238953","https://openalex.org/W2496037054","https://openalex.org/W2024895661","https://openalex.org/W2390883384","https://openalex.org/W2054108430","https://openalex.org/W3123594720","https://openalex.org/W2360283705","https://openalex.org/W2766238494"],"abstract_inverted_index":{"We":[0,104],"consider":[1,61],"a":[2,6,15,20,30,38,46,98],"security":[3],"setting":[4],"involving":[5],"defender":[7,135,158,178],"who":[8],"is":[9,45,120],"required":[10],"to":[11,14,33,96,136,142,153],"invest":[12],"(subject":[13],"budget":[16],"constraint)":[17],"in":[18,51,148],"protecting":[19],"given":[21],"set":[22],"of":[23,40,48,64,71,101,113,139,162,169],"nodes":[24,145,170],"against":[25],"attacks.":[26],"Each":[27],"node":[28,53],"has":[29,90],"certain":[31],"value":[32],"the":[34,49,55,62,69,75,111,116,134,143,149,154,157,160,167,177],"defender,":[35],"along":[36],"with":[37],"probability":[39,66,70,79,112,124,131,161],"being":[41],"successfully":[42],"compromised,":[43],"which":[44],"function":[47],"investment":[50,76,174],"that":[52,106,129,171],"by":[54,93],"defender.":[56],"In":[57,165],"this":[58],"setting,":[59],"we":[60,127],"impacts":[63],"behavioral":[65,94,130],"weighting":[67,132],"(vis-\u00e0-vis":[68],"successful":[72,114],"attack)":[73],"on":[74,110],"strategies;":[77],"such":[78],"weighting,":[80],"where":[81,156],"humans":[82],"overweight":[83],"low":[84],"probabilities":[85],"and":[86,146],"underweight":[87],"high":[88],"probabilities,":[89],"been":[91],"identified":[92],"economists":[95],"be":[97],"common":[99],"feature":[100],"human":[102],"decision-making.":[103],"show":[105,128],"under":[107,123],"appropriate":[108],"conditions":[109],"attack,":[115],"defender's":[117],"optimization":[118],"problem":[119],"convex":[121],"(even":[122],"weighting).":[125],"Furthermore,":[126],"causes":[133],"shift":[137],"more":[138,180],"her":[140],"investments":[141],"higher-valued":[144],"underinvest":[147],"low-value":[150],"nodes,":[151],"compared":[152],"case":[155],"perceives":[159],"attack":[163],"correctly.":[164],"particular,":[166],"number":[168],"have":[172],"positive":[173],"decreases":[175],"as":[176],"becomes":[179],"behavioral.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}