{"id":"https://openalex.org/W2899361874","doi":"https://doi.org/10.1109/pst.2018.8514192","title":"Privacy Preserving Probabilistic Record Linkage Without Trusted Third Party","display_name":"Privacy Preserving Probabilistic Record Linkage Without Trusted Third Party","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2899361874","doi":"https://doi.org/10.1109/pst.2018.8514192","mag":"2899361874"},"language":"en","primary_location":{"id":"doi:10.1109/pst.2018.8514192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pst.2018.8514192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 16th Annual Conference on Privacy, Security and Trust (PST)","raw_type":"proceedings-article"},"type":"article","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/A5013463294","display_name":"Ibrahim Lazrig","orcid":null},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ibrahim Lazrig","raw_affiliation_strings":["dept. of Computer Science, Colorado State University, Fort Collins, CO"],"affiliations":[{"raw_affiliation_string":"dept. of Computer Science, Colorado State University, Fort Collins, CO","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005960274","display_name":"Toan C. Ong","orcid":"https://orcid.org/0000-0001-6787-1407"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]},{"id":"https://openalex.org/I51713134","display_name":"University of Colorado Anschutz Medical Campus","ror":"https://ror.org/03wmf1y16","country_code":"US","type":"education","lineage":["https://openalex.org/I51713134"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Toan C. Ong","raw_affiliation_strings":["Anschutz Medical Campus, University of Colorado, Denver, CO"],"affiliations":[{"raw_affiliation_string":"Anschutz Medical Campus, University of Colorado, Denver, CO","institution_ids":["https://openalex.org/I51713134","https://openalex.org/I921990950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102938076","display_name":"Indrajit Ray","orcid":"https://orcid.org/0000-0002-3612-7738"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indrajit Ray","raw_affiliation_strings":["dept. of Computer Science, Colorado State University, Fort Collins, CO"],"affiliations":[{"raw_affiliation_string":"dept. of Computer Science, Colorado State University, Fort Collins, CO","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008904412","display_name":"Indrakshi Ray","orcid":"https://orcid.org/0000-0002-0714-7676"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indrakshi Ray","raw_affiliation_strings":["dept. of Computer Science, Colorado State University, Fort Collins, CO"],"affiliations":[{"raw_affiliation_string":"dept. of Computer Science, Colorado State University, Fort Collins, CO","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055458864","display_name":"Xiaoqian Jiang","orcid":"https://orcid.org/0000-0001-9933-2205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoqian Jiang","raw_affiliation_strings":["School of Computer Science U. of California, San deigo La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science U. of California, San deigo La Jolla, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034878799","display_name":"Jaideep Vaidya","orcid":"https://orcid.org/0000-0002-7420-6947"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaideep Vaidya","raw_affiliation_strings":["MSIS Department, Rutgers University, Newark, NJ"],"affiliations":[{"raw_affiliation_string":"MSIS Department, Rutgers University, Newark, NJ","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013463294"],"corresponding_institution_ids":["https://openalex.org/I92446798"],"apc_list":null,"apc_paid":null,"fwci":0.847,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77746857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11614","display_name":"Cloud Data Security Solutions","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8221506476402283},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7598072290420532},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.593652069568634},{"id":"https://openalex.org/keywords/record-linkage","display_name":"Record linkage","score":0.5614571571350098},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5585370063781738},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5510740876197815},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.540499210357666},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.5394933819770813},{"id":"https://openalex.org/keywords/trusted-third-party","display_name":"Trusted third party","score":0.5089616775512695},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.47926589846611023},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4554954469203949},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.45441022515296936},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.44522541761398315},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.4366590976715088},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42607322335243225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36086466908454895},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2855483889579773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15016034245491028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10506346821784973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08998969197273254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0844879150390625},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.07922226190567017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221506476402283},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7598072290420532},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.593652069568634},{"id":"https://openalex.org/C142210648","wikidata":"https://www.wikidata.org/wiki/Q1266546","display_name":"Record linkage","level":3,"score":0.5614571571350098},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5585370063781738},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5510740876197815},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.540499210357666},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.5394933819770813},{"id":"https://openalex.org/C139089976","wikidata":"https://www.wikidata.org/wiki/Q2142273","display_name":"Trusted third party","level":2,"score":0.5089616775512695},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47926589846611023},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4554954469203949},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.45441022515296936},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.44522541761398315},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.4366590976715088},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42607322335243225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36086466908454895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2855483889579773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15016034245491028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10506346821784973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08998969197273254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0844879150390625},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.07922226190567017},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pst.2018.8514192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pst.2018.8514192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 16th Annual Conference on Privacy, Security and Trust (PST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W49600654","https://openalex.org/W132217605","https://openalex.org/W198157877","https://openalex.org/W198971967","https://openalex.org/W1521253015","https://openalex.org/W1530809767","https://openalex.org/W1572330878","https://openalex.org/W1928359578","https://openalex.org/W1964584862","https://openalex.org/W1975431506","https://openalex.org/W1975570154","https://openalex.org/W1978315939","https://openalex.org/W2001496424","https://openalex.org/W2024652123","https://openalex.org/W2029128277","https://openalex.org/W2041936211","https://openalex.org/W2054514509","https://openalex.org/W2073471108","https://openalex.org/W2080291321","https://openalex.org/W2092422002","https://openalex.org/W2106217851","https://openalex.org/W2109426455","https://openalex.org/W2114244185","https://openalex.org/W2123845384","https://openalex.org/W2141965543","https://openalex.org/W2166873269","https://openalex.org/W2419366123","https://openalex.org/W2491190220","https://openalex.org/W2783426737","https://openalex.org/W3141585064","https://openalex.org/W4230502578","https://openalex.org/W6605361003","https://openalex.org/W6608030049","https://openalex.org/W6608130435","https://openalex.org/W6631659865","https://openalex.org/W6634430269"],"related_works":["https://openalex.org/W3022689928","https://openalex.org/W4206009022","https://openalex.org/W4200578079","https://openalex.org/W4288075818","https://openalex.org/W189451467","https://openalex.org/W2077568170","https://openalex.org/W3200138464","https://openalex.org/W2143793665","https://openalex.org/W42776009","https://openalex.org/W2138926267"],"abstract_inverted_index":{"For":[0],"the":[1,45,62,71,87,102,135,144,165,169,176,191,204],"purpose":[2],"of":[3,48,67,74,181,198],"research,":[4],"organizations":[5],"often":[6],"need":[7],"to":[8,14,25,56,59,61,94,119,129,134,149,163],"share":[9],"and":[10,159,178,189,201],"link":[11],"data":[12,88,186],"belonging":[13,133],"a":[15,75,111,195],"single":[16],"individual":[17],"while":[18],"protecting":[19],"her":[20],"privacy.":[21],"This":[22],"problem,":[23],"referred":[24],"as":[26,132],"privacy":[27],"preserving":[28],"record":[29],"linkage":[30],"(PPRL),":[31],"has":[32],"been":[33],"investigated":[34],"by":[35],"researchers.":[36],"Most":[37],"PPRL":[38,142],"works":[39],"focus":[40],"on":[41,124,171,207],"deterministic":[42],"linkages":[43],"where":[44],"identifying":[46,125],"attributes":[47,126],"two":[49,106,117],"records":[50,118],"must":[51],"be":[52,130],"equal":[53],"in":[54,105,127,143],"order":[55,128],"declare":[57],"them":[58],"belong":[60],"same":[63,136],"individual.":[64,137],"Moreover,":[65],"most":[66],"these":[68],"methods":[69,104,188],"require":[70,116],"active":[72],"participation":[73],"trusted":[76],"third":[77],"party":[78],"(TTP).":[79],"If":[80],"this":[81],"TTP":[82],"is":[83],"compromised,":[84],"it":[85],"makes":[86],"from":[89],"all":[90],"participating":[91],"parties":[92],"vulnerable":[93],"information":[95],"leakage.":[96],"The":[97],"proposed":[98],"work":[99],"improves":[100],"upon":[101],"existing":[103],"ways.":[107],"First,":[108],"we":[109,139,184],"propose":[110],"protocol":[112],"which":[113],"does":[114],"not":[115],"have":[120],"an":[121],"exact":[122],"match":[123],"declared":[131],"Second,":[138],"investigate":[140],"probabilistic":[141,157],"two-party":[145],"setting":[146],"without":[147],"resorting":[148],"any":[150],"TTP.":[151],"We":[152,193],"use":[153],"Bloom":[154],"filters":[155],"for":[156,168],"matching":[158,170],"Yao's":[160,182],"garbled":[161],"circuit":[162],"perform":[164],"computation":[166,177],"needed":[167],"encrypted":[172],"data.":[173],"To":[174],"alleviate":[175],"communication":[179],"overhead":[180],"protocol,":[183],"leverage":[185],"blocking":[187],"optimize":[190],"computation.":[192],"provide":[194],"security":[196],"proof":[197],"our":[199],"method":[200],"experimentally":[202],"evaluate":[203],"performance":[205],"gained":[206],"large":[208],"benchmark":[209],"datasets.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
