{"id":"https://openalex.org/W4315630024","doi":"https://doi.org/10.1109/globecom48099.2022.10000971","title":"Efficient and Privacy-Preserving Fusion Based Multi-Biometric Recognition","display_name":"Efficient and Privacy-Preserving Fusion Based Multi-Biometric Recognition","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630024","doi":"https://doi.org/10.1109/globecom48099.2022.10000971"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10000971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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/A5100318915","display_name":"Linlin Li","orcid":"https://orcid.org/0000-0002-6387-6013"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Li","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021292791","display_name":"Hui Zhu","orcid":"https://orcid.org/0000-0002-5853-633X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhu","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091898557","display_name":"Yandong Zheng","orcid":"https://orcid.org/0000-0003-4534-5670"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Zheng","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864760","display_name":"Fengwei Wang","orcid":"https://orcid.org/0000-0002-6886-8258"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengwei Wang","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070447777","display_name":"Rongxing Lu","orcid":"https://orcid.org/0000-0001-5720-0941"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rongxing Lu","raw_affiliation_strings":["University of New Brunswick,Faculty of Computer Science,Fredericton,Canada,E3B 5A3"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Faculty of Computer Science,Fredericton,Canada,E3B 5A3","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423964","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-2382-6289"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Services Networks,Xi'an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4860","last_page":"4865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11448","display_name":"Face recognition and analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9957000017166138,"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/biometrics","display_name":"Biometrics","score":0.8376976251602173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7977402806282043},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5553191304206848},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.536998450756073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5185197591781616},{"id":"https://openalex.org/keywords/cryptosystem","display_name":"Cryptosystem","score":0.5060669779777527},{"id":"https://openalex.org/keywords/signature-recognition","display_name":"Signature recognition","score":0.48219195008277893},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4132993221282959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40405935049057007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34487295150756836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3437404930591583},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.2776005268096924},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.26422780752182007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06662699580192566}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8376976251602173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977402806282043},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5553191304206848},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.536998450756073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5185197591781616},{"id":"https://openalex.org/C6295992","wikidata":"https://www.wikidata.org/wiki/Q976521","display_name":"Cryptosystem","level":3,"score":0.5060669779777527},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.48219195008277893},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4132993221282959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40405935049057007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34487295150756836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3437404930591583},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.2776005268096924},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.26422780752182007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06662699580192566},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10000971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10000971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5990739176","display_name":null,"funder_award_id":"61972304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W1973131559","https://openalex.org/W1973285633","https://openalex.org/W1981487090","https://openalex.org/W2027463020","https://openalex.org/W2132172731","https://openalex.org/W2194775991","https://openalex.org/W2517072156","https://openalex.org/W2578517905","https://openalex.org/W2772863729","https://openalex.org/W2808631503","https://openalex.org/W2969985801","https://openalex.org/W2985527074","https://openalex.org/W3010452742","https://openalex.org/W3013893037","https://openalex.org/W3082518902","https://openalex.org/W6630649318"],"related_works":["https://openalex.org/W282892068","https://openalex.org/W2382014373","https://openalex.org/W114071549","https://openalex.org/W2300660083","https://openalex.org/W2638375055","https://openalex.org/W2283828826","https://openalex.org/W2167424622","https://openalex.org/W4233844014","https://openalex.org/W2992324903","https://openalex.org/W1991178765"],"abstract_inverted_index":{"The":[0,131],"advance":[1],"of":[2,10,28,96,155,169],"artificial":[3],"intelligence":[4],"has":[5,32],"stimulated":[6],"the":[7,94,111,115,153,167],"rapid":[8],"development":[9],"multi-biometric":[11,30,48,66,106],"recognition":[12,31,67,107,135,159],"that":[13,152],"recognizes":[14],"users":[15],"based":[16,109],"on":[17,110,122],"their":[18],"multiple":[19],"biometric":[20,23,156],"features.":[21],"Since":[22],"features":[24],"are":[25],"private":[26],"information":[27,157],"users,":[29],"to":[33,78,127],"be":[34,162],"processed":[35],"in":[36,54,114],"a":[37,64,75,80,123,139],"privacy-preserving":[38,47,65,105],"way.":[39],"Although":[40],"many":[41],"approaches":[42],"have":[43,51],"been":[44],"proposed":[45],"for":[46],"recognition,":[49],"they":[50],"some":[52],"limitations":[53],"security":[55],"and":[56,82,92,104,158],"performance.":[57],"Aiming":[58],"at":[59],"this":[60,70],"challenge,":[61],"we":[62,72,100],"propose":[63],"scheme.":[68,171],"In":[69],"scheme,":[71],"first":[73],"utilize":[74],"neural":[76],"network":[77],"train":[79],"face":[81],"voiceprint":[83],"fusion":[84,89,97,141],"model,":[85,117],"which":[86,118],"obtains":[87],"better":[88],"layer":[90],"parameters":[91],"improves":[93],"accuracy":[95,136],"recognition.":[98],"Then,":[99],"design":[101],"an":[102],"efficient":[103],"scheme":[108,132],"MK-CKKS":[112],"cryptosystem":[113],"decentralized":[116],"does":[119],"not":[120],"rely":[121],"trusted":[124],"third":[125],"party":[126],"increase":[128],"its":[129],"universality.":[130],"can":[133,161],"guarante":[134],"by":[137],"utilizing":[138],"feature-level":[140],"mechanism,":[142],"reaching":[143],"EERs":[144],"as":[145,147],"low":[146],"0.66%.":[148],"Security":[149],"analysis":[150],"shows":[151],"privacy":[154],"results":[160,165],"guaranteed.":[163],"Experimental":[164],"validates":[166],"efficiency":[168],"our":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}