{"id":"https://openalex.org/W7138901403","doi":"https://doi.org/10.1109/globecom59602.2025.11431817","title":"Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data for AiP System","display_name":"Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data for AiP System","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7138901403","doi":"https://doi.org/10.1109/globecom59602.2025.11431817"},"language":"en","primary_location":{"id":"doi:10.1109/globecom59602.2025.11431817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11431817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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/A5047474679","display_name":"Zhuliang Jia","orcid":"https://orcid.org/0000-0002-3049-9012"},"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":"Zhuliang Jia","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":"middle","author":{"id":"https://openalex.org/A5009118014","display_name":"Suprio Ray","orcid":"https://orcid.org/0000-0003-0681-9685"},"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":"Suprio Ray","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":"middle","author":{"id":"https://openalex.org/A5129899140","display_name":"Rongxing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rongxing Lu","raw_affiliation_strings":["Queen’s University,School of Computing,Kingston,Canada,K7L 2N8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen’s University,School of Computing,Kingston,Canada,K7L 2N8","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130064802","display_name":"Mohammad Mamun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098097","display_name":"Research and Productivity Council","ror":"https://ror.org/00yeap462","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210098097"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Mamun","raw_affiliation_strings":["National Research Council of Canada,Fredericton,Canada,E3B 9W4"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council of Canada,Fredericton,Canada,E3B 9W4","institution_ids":["https://openalex.org/I4210098097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7971769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2276","last_page":"2281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.2076999992132187,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.2076999992132187,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.16699999570846558,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.05939999967813492,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6638000011444092},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6460999846458435},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4864000082015991},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.48399999737739563},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4830999970436096},{"id":"https://openalex.org/keywords/security-analysis","display_name":"Security analysis","score":0.42399999499320984},{"id":"https://openalex.org/keywords/cryptographic-primitive","display_name":"Cryptographic primitive","score":0.4097999930381775},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.4036000072956085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074000239372253},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6638000011444092},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6460999846458435},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C38369872","wikidata":"https://www.wikidata.org/wiki/Q7445009","display_name":"Security analysis","level":2,"score":0.42399999499320984},{"id":"https://openalex.org/C15927051","wikidata":"https://www.wikidata.org/wiki/Q246593","display_name":"Cryptographic primitive","level":4,"score":0.4097999930381775},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.4036000072956085},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26829999685287476},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C3017977704","wikidata":"https://www.wikidata.org/wiki/Q18745135","display_name":"Health data","level":3,"score":0.2533999979496002},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom59602.2025.11431817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11431817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:1212b8cf-3ddf-4e32-9bab-7593429fb261","is_oa":false,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=1212b8cf-3ddf-4e32-9bab-7593429fb261","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","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":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314062","display_name":"National Research Council","ror":"https://ror.org/02eq2w707"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1826672334","https://openalex.org/W2141395382","https://openalex.org/W3026282103","https://openalex.org/W3092115729","https://openalex.org/W3216559820","https://openalex.org/W4213251304","https://openalex.org/W4313547868","https://openalex.org/W4321483831","https://openalex.org/W4392152646"],"related_works":[],"abstract_inverted_index":{"Aging":[0],"in":[1],"Place":[2],"(AiP)":[3],"programs":[4],"enable":[5],"elderly":[6],"individuals":[7],"to":[8],"live":[9],"independently":[10],"and":[11,16,26,55,65,130],"comfortably":[12],"within":[13],"their":[14],"homes":[15,25],"communities":[17],"by":[18],"utilizing":[19],"technological":[20],"innovations":[21],"such":[22],"as":[23],"smart":[24],"remote":[27],"healthcare":[28],"monitoring.":[29],"In":[30],"practical":[31,131],"AiP":[32,77,135],"scenarios,":[33],"data":[34,53],"necessary":[35],"for":[36,74,133],"accurate":[37],"health":[38],"predictions":[39],"are":[40],"typically":[41],"vertically":[42,75],"partitioned":[43,76],"across":[44],"multiple":[45],"medical":[46],"institutions,":[47],"raising":[48],"significant":[49],"privacy":[50,112,128],"concerns":[51],"during":[52],"integration":[54],"analysis.":[56],"To":[57],"address":[58],"this":[59],"challenge,":[60],"we":[61],"propose":[62],"an":[63],"efficient":[64],"privacy-preserving":[66],"logistic":[67],"regression":[68],"(LR)":[69],"prediction":[70],"scheme":[71,80,124],"tailored":[72],"explicitly":[73],"data.":[78],"Our":[79],"effectively":[81],"combines":[82],"the":[83,92,100],"computational":[84,126],"efficiency":[85],"of":[86],"Trusted":[87],"Execution":[88],"Environments":[89],"(TEE)":[90],"under":[91],"honest-but-curious":[93,115],"model":[94],"with":[95],"cryptographic":[96],"security":[97],"based":[98],"on":[99],"Matrix":[101],"Diffie-Hellman":[102],"(MDDH)":[103],"assumption.":[104],"Security":[105],"analysis":[106],"confirms":[107],"that":[108,121],"our":[109,122],"approach":[110],"provides":[111],"protections":[113],"against":[114],"adversaries.":[116],"Extensive":[117],"experimental":[118],"evaluations":[119],"demonstrate":[120],"proposed":[123],"achieves":[125],"efficiency,":[127],"protection,":[129],"scalability":[132],"real-world":[134],"implementations.":[136]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}