{"id":"https://openalex.org/W7167917366","doi":"https://doi.org/10.1109/access.2026.3711963","title":"E-IMPO: A Reversible and GPU-Scalable Privacy Framework for High-Dimensional Mobility Data Publishing","display_name":"E-IMPO: A Reversible and GPU-Scalable Privacy Framework for High-Dimensional Mobility Data Publishing","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7167917366","doi":"https://doi.org/10.1109/access.2026.3711963"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3711963","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3711963","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3711963","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008273059","display_name":"Chetneti Srisa-An","orcid":null},"institutions":[{"id":"https://openalex.org/I89226531","display_name":"Rangsit University","ror":"https://ror.org/01cqcrc47","country_code":"TH","type":"education","lineage":["https://openalex.org/I89226531"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chetneti Srisa-An","raw_affiliation_strings":["Rangsit University"],"raw_orcid":"https://orcid.org/0000-0002-8163-8991","affiliations":[{"raw_affiliation_string":"Rangsit University","institution_ids":["https://openalex.org/I89226531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088208497","display_name":"Jiraphat Lapwattanaworakul","orcid":null},"institutions":[{"id":"https://openalex.org/I89226531","display_name":"Rangsit University","ror":"https://ror.org/01cqcrc47","country_code":"TH","type":"education","lineage":["https://openalex.org/I89226531"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jiraphat Lapwattanaworakul","raw_affiliation_strings":["Rangsit University"],"raw_orcid":"https://orcid.org/0000-0003-4785-0523","affiliations":[{"raw_affiliation_string":"Rangsit University","institution_ids":["https://openalex.org/I89226531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I89226531"],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74042226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"105564","last_page":"105581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.553600013256073,"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":0.553600013256073,"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/T10237","display_name":"Cryptography and Data Security","score":0.0885000005364418,"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/T11106","display_name":"Data Management and Algorithms","score":0.07119999825954437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-publishing","display_name":"Data publishing","score":0.6269000172615051},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5379999876022339},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.4415000081062317},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3490999937057495},{"id":"https://openalex.org/keywords/publishing","display_name":"Publishing","score":0.3237999975681305},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.31189998984336853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430999875068665},{"id":"https://openalex.org/C2781396290","wikidata":"https://www.wikidata.org/wiki/Q17051824","display_name":"Data publishing","level":3,"score":0.6269000172615051},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4512999951839447},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4447999894618988},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.4415000081062317},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C193934123","wikidata":"https://www.wikidata.org/wiki/Q7246028","display_name":"Privacy by Design","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3711963","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3711963","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:850ec4b19ca840be854da78947b5f084","is_oa":false,"landing_page_url":"https://doaj.org/article/850ec4b19ca840be854da78947b5f084","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 105564-105581 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3711963","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3711963","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"E-IMPO,":[3],"a":[4,58,185,221],"scalable":[5,202],"and":[6,42,77,86,125,139,147,166,180,234],"reversible":[7,78,182],"extension":[8],"of":[9,154,175],"the":[10,23,152,155,173],"In-Memory":[11],"Perturbation":[12],"Optimizer":[13],"(IMPO)":[14],"for":[15,223],"privacy-preserving":[16,203,225],"mobility":[17,66,190,204,230],"data":[18,49,67,88,111,191,205,226],"publishing.":[19],"Existing":[20],"approaches,":[21],"including":[22,131],"original":[24],"IMPO":[25],"framework,":[26],"face":[27],"significant":[28],"limitations":[29],"in":[30,44],"handling":[31],"high-dimensional":[32,74,189],"quasi-identifier":[33],"(QI)":[34],"spaces":[35],"due":[36],"to":[37,81,99,188],"computational":[38],"complexity,":[39],"scalability":[40],"constraints,":[41],"challenges":[43],"balancing":[45],"privacy":[46,84,144,162],"protection":[47,85,183],"with":[48,73],"utility":[50,124,160,213],"preservation.":[51],"To":[52],"address":[53],"these":[54],"limitations,":[55],"E-IMPO":[56,114],"introduces":[57],"Spatio-Temporal":[59],"Discretization":[60],"Layer":[61],"(STDL)":[62],"that":[63,113,172,201],"transforms":[64],"continuous":[65],"into":[68],"structured":[69],"QI":[70],"representations,":[71],"combined":[72],"frequency":[75],"analysis":[76,119],"cell-key":[79],"perturbation":[80],"provide":[82],"controlled":[83,126],"authorized":[87,215],"recovery.":[89],"GPU-based":[90],"parallel":[91],"computation":[92],"is":[93],"employed":[94],"as":[95],"an":[96],"enabling":[97],"mechanism":[98],"support":[100],"efficient":[101,116],"large-scale":[102,107],"analysis.":[103],"Experimental":[104],"evaluation":[105],"using":[106],"NYC":[108],"taxi":[109],"trajectory":[110],"demonstrates":[112],"enables":[115],"full-dimensional":[117],"privacy-risk":[118],"while":[120,193],"maintaining":[121],"high":[122],"analytical":[123,212],"recoverability.":[127,216],"Additional":[128],"validation":[129],"experiments,":[130],"ablation":[132],"analysis,":[133],"discretization":[134],"sensitivity":[135],"evaluation,":[136],"simulated":[137],"linkage":[138],"re-identification":[140],"attack":[141],"assessment,":[142,149],"differential":[143],"baseline":[145],"comparison,":[146],"recovery-overhead":[148],"further":[150],"confirm":[151],"effectiveness":[153],"proposed":[156,218],"framework":[157,219],"across":[158],"scalability,":[159],"preservation,":[161],"protection,":[163],"disclosure-risk":[164],"reduction,":[165],"reversibility":[167],"dimensions.":[168],"The":[169,217],"results":[170],"demonstrate":[171,200],"integration":[174],"spatio-temporal":[176],"discretization,":[177],"selective":[178],"perturbation,":[179],"trajectory-aware":[181],"provides":[184,220],"balanced":[186],"approach":[187],"publishing":[192,206],"supporting":[194,228],"practical":[195],"deployment":[196],"requirements.":[197],"These":[198],"findings":[199],"can":[207],"be":[208],"achieved":[209],"without":[210],"sacrificing":[211],"or":[214],"foundation":[222],"next-generation":[224],"infrastructures":[227],"smart":[229],"analytics,":[231],"regulatory":[232],"compliance,":[233],"data-driven":[235],"decision-making":[236],"environments.":[237]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-07-11T00:00:00"}
