{"id":"https://openalex.org/W4406459146","doi":"https://doi.org/10.1109/bigdata62323.2024.10825332","title":"Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data Exchange","display_name":"Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data Exchange","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459146","doi":"https://doi.org/10.1109/bigdata62323.2024.10825332"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/BigData62323.2024.10825332","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093759837","display_name":"Kyriaki Miniadou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121775","display_name":"FORTH Institute of Computer Science","ror":"https://ror.org/02tf48g55","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kyriaki Miniadou","raw_affiliation_strings":["Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece","institution_ids":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042343773","display_name":"Asterios Leonidis","orcid":"https://orcid.org/0000-0002-6800-3895"},"institutions":[{"id":"https://openalex.org/I4210121775","display_name":"FORTH Institute of Computer Science","ror":"https://ror.org/02tf48g55","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Asterios Leonidis","raw_affiliation_strings":["Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece","institution_ids":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846914","display_name":"Georgios Th. Papadopoulos","orcid":"https://orcid.org/0009-0006-1726-3714"},"institutions":[{"id":"https://openalex.org/I4210121775","display_name":"FORTH Institute of Computer Science","ror":"https://ror.org/02tf48g55","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Th. Papadopoulos","raw_affiliation_strings":["Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece","institution_ids":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009270487","display_name":"Constantine Stephanidis","orcid":"https://orcid.org/0000-0003-3687-4220"},"institutions":[{"id":"https://openalex.org/I4210121775","display_name":"FORTH Institute of Computer Science","ror":"https://ror.org/02tf48g55","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Constantine Stephanidis","raw_affiliation_strings":["Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundation for Research and Technology - Hellas (FORTH),Institute of Computer Science (ICS),Heraklion,Greece","institution_ids":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2794","last_page":"2800"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9984999895095825,"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":0.9984999895095825,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9832000136375427,"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/T11448","display_name":"Face recognition and analysis","score":0.9643999934196472,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7563726305961609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333850860595703},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6737174391746521},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6520652770996094},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4257640242576599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38383030891418457},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34671905636787415},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16129210591316223}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7563726305961609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333850860595703},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6737174391746521},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6520652770996094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4257640242576599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38383030891418457},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34671905636787415},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16129210591316223}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:14859636","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BigData62323.2024.10825332","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 15-18 December 2024","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:14859636","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BigData62323.2024.10825332","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 15-18 December 2024","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W205206456","https://openalex.org/W2019464758","https://openalex.org/W2024922353","https://openalex.org/W2200221893","https://openalex.org/W2508837377","https://openalex.org/W2561035403","https://openalex.org/W2604123379","https://openalex.org/W2606882085","https://openalex.org/W2890032859","https://openalex.org/W2952417223","https://openalex.org/W2981496068","https://openalex.org/W2986379325","https://openalex.org/W2998572311","https://openalex.org/W3000592047","https://openalex.org/W3009806461","https://openalex.org/W3045492092","https://openalex.org/W3201829608","https://openalex.org/W4205177950","https://openalex.org/W4230579564","https://openalex.org/W4367673900","https://openalex.org/W4402262326","https://openalex.org/W6730631006"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W4300552992"],"abstract_inverted_index":{"Cross-border":[0],"collaboration":[1,148],"among":[2],"Law":[3,42,124,168],"Enforcement":[4,43,125,169],"Agencies":[5,44,170],"is":[6],"essential":[7],"for":[8,32,75,106,115],"effective":[9],"and":[10,29,52,55,65,77,109,136,145,173],"timely":[11],"suspect":[12,68,159],"identification,":[13],"especially":[14],"when":[15],"the":[16,62,91,132,156],"availability":[17],"of":[18,67,93,131,158],"biometric":[19,34,47,95,117,175],"data":[20,80,144,176],"varies":[21],"between":[22,149],"agencies.":[23,150],"This":[24,151],"paper":[25],"presents":[26],"a":[27],"scalable":[28],"secure":[30,107],"approach":[31,40,98,152],"multimodal":[33],"identification":[35,160],"across":[36,178],"multiple":[37],"jurisdictions.":[38],"Our":[39],"allows":[41,122],"to":[45,127,171],"combine":[46],"modalities":[48],"-facial":[49],"images,":[50],"fingerprints,":[51],"voice":[53],"samples-":[54],"compare":[56],"them":[57],"with":[58,141],"collaborating":[59],"agencies,":[60],"improving":[61],"overall":[63],"accuracy":[64,157],"effectiveness":[66],"identification.":[69],"By":[70],"leveraging":[71],"deep":[72],"learning":[73],"models":[74],"indexing":[76],"comparison,":[78],"efficient":[79],"retrieval":[81],"was":[82],"achieved":[83],"without":[84],"compromising":[85],"privacy":[86],"or":[87],"security.":[88],"To":[89],"ensure":[90],"protection":[92],"sensitive":[94,143],"data,":[96],"our":[97],"incorporates":[99],"advanced":[100],"encryption":[101],"mechanisms,":[102],"including":[103],"Homomorphic":[104],"Encryption":[105,111],"computations":[108],"Advanced":[110],"Standard":[112],"(AES":[113],"encryption)":[114],"safeguarding":[116],"information.":[118],"Its":[119],"decentralised":[120],"architecture":[121],"each":[123],"Agency":[126],"maintain":[128],"independent":[129],"instances":[130],"Deep":[133],"Learning":[134],"Indexer":[135],"Comparator,":[137],"minimising":[138],"risks":[139],"associated":[140],"centralising":[142],"supporting":[146],"seamless":[147],"not":[153],"only":[154],"improves":[155],"but":[161],"also":[162],"enhances":[163],"operational":[164],"efficiency":[165],"by":[166],"allowing":[167],"query":[172],"share":[174],"securely":[177],"borders.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
