{"id":"https://openalex.org/W7204621779","doi":"https://doi.org/10.22266/ijies2026.0930.53","title":"DLGNet: A Deep Learning and Generative Framework for Privacy-preserving PII De-identification with Semantic Verification","display_name":"DLGNet: A Deep Learning and Generative Framework for Privacy-preserving PII De-identification with Semantic Verification","publication_year":2026,"publication_date":"2026-08-29","ids":{"openalex":"https://openalex.org/W7204621779","doi":"https://doi.org/10.22266/ijies2026.0930.53"},"language":"en","primary_location":{"id":"doi:10.22266/ijies2026.0930.53","doi":"https://doi.org/10.22266/ijies2026.0930.53","is_oa":true,"landing_page_url":"https://doi.org/10.22266/ijies2026.0930.53","pdf_url":"https://doi.org/10.22266/ijies2026.0930.53","source":{"id":"https://openalex.org/S2764379787","display_name":"International journal of intelligent engineering and systems","issn_l":"1882-708X","issn":["1882-708X","2185-310X","2185-3118"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4365922016","host_organization_name":"Intelligent Networks and Systems Society","host_organization_lineage":["https://openalex.org/P4365922016"],"host_organization_lineage_names":["Intelligent Networks and Systems Society"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Engineering and Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.22266/ijies2026.0930.53","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135698396","display_name":"Venkata Sai Aditya Kondru","orcid":"https://orcid.org/0009-0008-0494-9965","observed_orcids":["https://orcid.org/0009-0008-0494-9965"]},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkata Sai Aditya Kondru","raw_affiliation_strings":["Department of Computer Science and Systems Engineering, Andhra University College of Engineering (Autonomous), Andhra University, Visakhapatnam 530003, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Systems Engineering, Andhra University College of Engineering (Autonomous), Andhra University, Visakhapatnam 530003, Andhra Pradesh, India","institution_ids":["https://openalex.org/I100887729"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016912470","display_name":"Venkata Rao Kasukurthi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100887729","display_name":"Andhra University","ror":"https://ror.org/049skhf47","country_code":"IN","type":"education","lineage":["https://openalex.org/I100887729"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkata Rao Kasukurthi","raw_affiliation_strings":["Department of Computer Science and Systems Engineering, Andhra University College of Engineering (Autonomous), Andhra University, Visakhapatnam 530003, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Systems Engineering, Andhra University College of Engineering (Autonomous), Andhra University, Visakhapatnam 530003, Andhra Pradesh, India","institution_ids":["https://openalex.org/I100887729"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100887729"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"9","first_page":"1078","last_page":"1106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9897000193595886,"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":0.9897000193595886,"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/T10028","display_name":"Topic Modeling","score":0.004800000227987766,"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/T11719","display_name":"Data Quality and Management","score":0.00139999995008111,"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/personally-identifiable-information","display_name":"personally identifiable information","score":0.8539999723434448},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.890999972820282},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.6549999713897705},{"id":"https://openalex.org/keywords/semantic-verification","display_name":"semantic verification","score":0.8840000033378601},{"id":"https://openalex.org/keywords/deberta","display_name":"DeBERTa","score":0.8610000014305115},{"id":"https://openalex.org/keywords/healthcare-data-privacy","display_name":"healthcare data privacy","score":0.531000018119812},{"id":"https://openalex.org/keywords/unstructured-text","display_name":"unstructured text","score":0.46299999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9078999757766724},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6851000189781189},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5824000239372253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5541999936103821},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5539000034332275},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4699999988079071},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44769999384880066},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41110000014305115},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.35040000081062317},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.34049999713897705},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.33739998936653137},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.31869998574256897},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.27320000529289246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2703999876976013},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22266/ijies2026.0930.53","doi":"https://doi.org/10.22266/ijies2026.0930.53","is_oa":true,"landing_page_url":"https://doi.org/10.22266/ijies2026.0930.53","pdf_url":"https://doi.org/10.22266/ijies2026.0930.53","source":{"id":"https://openalex.org/S2764379787","display_name":"International journal of intelligent engineering and systems","issn_l":"1882-708X","issn":["1882-708X","2185-310X","2185-3118"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4365922016","host_organization_name":"Intelligent Networks and Systems Society","host_organization_lineage":["https://openalex.org/P4365922016"],"host_organization_lineage_names":["Intelligent Networks and Systems Society"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Engineering and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.22266/ijies2026.0930.53","doi":"https://doi.org/10.22266/ijies2026.0930.53","is_oa":true,"landing_page_url":"https://doi.org/10.22266/ijies2026.0930.53","pdf_url":"https://doi.org/10.22266/ijies2026.0930.53","source":{"id":"https://openalex.org/S2764379787","display_name":"International journal of intelligent engineering and systems","issn_l":"1882-708X","issn":["1882-708X","2185-310X","2185-3118"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4365922016","host_organization_name":"Intelligent Networks and Systems Society","host_organization_lineage":["https://openalex.org/P4365922016"],"host_organization_lineage_names":["Intelligent Networks and Systems Society"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Engineering and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204621779.pdf","grobid_xml":"https://content.openalex.org/works/W7204621779.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1034374084","https://openalex.org/W1509979276","https://openalex.org/W2161880183","https://openalex.org/W2183114698","https://openalex.org/W2626778328","https://openalex.org/W2961904766","https://openalex.org/W2963341956","https://openalex.org/W3004506153","https://openalex.org/W3026482475","https://openalex.org/W3033187248","https://openalex.org/W3083683925","https://openalex.org/W3109507914","https://openalex.org/W3157476571","https://openalex.org/W3164761369","https://openalex.org/W3191402931","https://openalex.org/W3217675075","https://openalex.org/W4214561382","https://openalex.org/W4221025428","https://openalex.org/W4322767126","https://openalex.org/W4387667292","https://openalex.org/W4392554186","https://openalex.org/W4392782152","https://openalex.org/W4392976136","https://openalex.org/W4393156886","https://openalex.org/W4395097257","https://openalex.org/W4399991029","https://openalex.org/W4400956569","https://openalex.org/W4402136621","https://openalex.org/W4403600390","https://openalex.org/W4403882702","https://openalex.org/W4404746503","https://openalex.org/W4405658077","https://openalex.org/W4406603748","https://openalex.org/W4408886719","https://openalex.org/W4410409778","https://openalex.org/W4410890293","https://openalex.org/W4414272281","https://openalex.org/W4417487500","https://openalex.org/W7128313557","https://openalex.org/W7140107140","https://openalex.org/W7166875374"],"related_works":["https://openalex.org/W4403852040","https://openalex.org/W4387667292","https://openalex.org/W2605410392","https://openalex.org/W7140114919","https://openalex.org/W4399872744","https://openalex.org/W4406038962","https://openalex.org/W7160894723","https://openalex.org/W6931694205","https://openalex.org/W7167018480","https://openalex.org/W4409585545"],"abstract_inverted_index":{"The":[0],"rapid":[1],"growth":[2],"of":[3,20,23,140,143,146,153,160,165,170],"unstructured":[4],"textual":[5,131,171],"data":[6,34,195],"in":[7],"domains":[8],"such":[9],"as":[10],"healthcare,":[11],"education,":[12],"and":[13,39,45,57,62,92,122,148,162,173,180,194],"enterprise":[14],"systems":[15],"has":[16],"increased":[17],"the":[18],"risk":[19],"inadvertent":[21],"exposure":[22],"Personally":[24],"Identifiable":[25],"Information":[26],"(PII).Effective":[27],"deidentification":[28],"is":[29],"essential":[30],"to":[31,67,125],"enable":[32],"secure":[33],"sharing":[35],"while":[36,129],"preserving":[37,130],"privacy":[38,72],"regulatory":[40],"compliance.Existing":[41],"approaches,":[42],"including":[43],"rule-based":[44,123],"deep":[46],"learning-based":[47],"Named":[48],"Entity":[49],"Recognition":[50],"(NER)":[51],"methods,":[52],"primarily":[53],"focus":[54],"on":[55],"detection":[56,190],"often":[58],"lack":[59],"contextual":[60,112,192],"validation":[61],"robust":[63],"replacement":[64],"mechanisms,":[65],"leading":[66],"information":[68],"loss":[69],"or":[70],"residual":[71],"risks.This":[73],"work":[74],"proposes":[75],"DLGNet,":[76],"a":[77,106,119,157,178],"pipeline-based":[78],"integrated":[79],"framework":[80,83,176],"PII":[81,100],"de-identification":[82],"that":[84],"integrates":[85],"DeBERTa-based":[86],"token-level":[87],"detection,":[88],"LLM-based":[89],"semantic":[90,108],"verification,":[91],"type-aware":[93],"replacement.A":[94],"BIO-tagged":[95],"DeBERTa":[96],"model":[97],"identifies":[98],"candidate":[99],"spans,":[101],"which":[102],"are":[103,115],"refined":[104],"using":[105,118],"TinyLlamabased":[107],"verification":[109],"module":[110],"for":[111,183],"validation.Detected":[113],"entities":[114],"then":[116],"replaced":[117],"hybrid":[120],"generative":[121],"strategy":[124],"ensure":[126],"irreversible":[127],"transformation":[128],"coherence.Experimental":[132],"results":[133],"demonstrate":[134],"strong":[135],"recall-oriented":[136],"performance,":[137],"achieving":[138],"precision":[139],"90.3%,":[141],"recall":[142],"94.7%,":[144],"F1-score":[145],"92.4%,":[147],"F\u03b2-score":[149],"(\u03b2":[150],"=":[151],"5)":[152],"94.52%.Utility":[154],"evaluation":[155],"shows":[156],"length":[158],"ratio":[159],"0.96":[161],"token":[163],"overlap":[164],"0.73,":[166],"indicating":[167],"effective":[168],"preservation":[169],"structure":[172],"semantics.The":[174],"proposed":[175],"provides":[177],"unified":[179],"practical":[181],"solution":[182],"privacy-preserving":[184],"text":[185],"processing":[186],"by":[187],"jointly":[188],"improving":[189],"accuracy,":[191],"reliability,":[193],"utility.":[196]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-30T00:00:00"}