{"id":"https://openalex.org/W4399975500","doi":"https://doi.org/10.3390/s24134069","title":"A Deep Learning-Based Method for Preventing Data Leakage in Electric Power Industrial Internet of Things Business Data Interactions","display_name":"A Deep Learning-Based Method for Preventing Data Leakage in Electric Power Industrial Internet of Things Business Data Interactions","publication_year":2024,"publication_date":"2024-06-22","ids":{"openalex":"https://openalex.org/W4399975500","doi":"https://doi.org/10.3390/s24134069","pmid":"https://pubmed.ncbi.nlm.nih.gov/39000847"},"language":"en","primary_location":{"id":"doi:10.3390/s24134069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134069","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4069/pdf?version=1719048192","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/13/4069/pdf?version=1719048192","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102830717","display_name":"Weiwei Miao","orcid":"https://orcid.org/0000-0002-8726-2884"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Miao","raw_affiliation_strings":["State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch, Nanjing 210024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch, Nanjing 210024, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048669237","display_name":"Xinjian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Zhao","raw_affiliation_strings":["State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch, Nanjing 210024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch, Nanjing 210024, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034994010","display_name":"Yinzhao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinzhao Zhang","raw_affiliation_strings":["School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362202","display_name":"Shi Chen","orcid":"https://orcid.org/0000-0002-3749-4767"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Chen","raw_affiliation_strings":["State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch, Nanjing 210024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch, Nanjing 210024, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063940644","display_name":"Xiaochao Li","orcid":"https://orcid.org/0000-0001-7469-7064"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochao Li","raw_affiliation_strings":["School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090335612","display_name":"Qianmu Li","orcid":"https://orcid.org/0000-0002-0998-1517"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianmu Li","raw_affiliation_strings":["School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":"https://orcid.org/0000-0002-0998-1517","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034994010"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":7.3537,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.96942668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"13","first_page":"4069","last_page":"4069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.992900013923645,"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"}},"topics":[{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.992900013923645,"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/T11719","display_name":"Data Quality and Management","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11614","display_name":"Cloud Data Security Solutions","score":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.7778809070587158},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7554914951324463},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.5255759358406067},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4896300435066223},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4668866693973541},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4504762291908264},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4423184394836426},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43195199966430664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37354525923728943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32530367374420166},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11093145608901978},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10075691342353821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778809070587158},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7554914951324463},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.5255759358406067},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4896300435066223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4668866693973541},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4504762291908264},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4423184394836426},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43195199966430664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37354525923728943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32530367374420166},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11093145608901978},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10075691342353821}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24134069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134069","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4069/pdf?version=1719048192","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39000847","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39000847","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11243995","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11243995","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11243995/pdf/sensors-24-04069.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f6feb405c80041bb9cd2e03830bb5571","is_oa":false,"landing_page_url":"https://doaj.org/article/f6feb405c80041bb9cd2e03830bb5571","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":"Sensors, Vol 24, Iss 13, p 4069 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24134069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134069","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4069/pdf?version=1719048192","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335967","display_name":"Science and Technology Project of State Grid","ror":null},{"id":"https://openalex.org/F4320336329","display_name":"State Grid Jiangsu Electric Power","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399975500.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2168154523","https://openalex.org/W2296283641","https://openalex.org/W2559281960","https://openalex.org/W2607741432","https://openalex.org/W2769387903","https://openalex.org/W2782385741","https://openalex.org/W2952230511","https://openalex.org/W2962902328","https://openalex.org/W2970597249","https://openalex.org/W3033187248","https://openalex.org/W3034079382","https://openalex.org/W3037822235","https://openalex.org/W3082431408","https://openalex.org/W3093766008","https://openalex.org/W3094158180","https://openalex.org/W3154199194","https://openalex.org/W3172333782","https://openalex.org/W3186858063","https://openalex.org/W3197875103","https://openalex.org/W3207997586","https://openalex.org/W4243640523","https://openalex.org/W4285228719","https://openalex.org/W4286490622","https://openalex.org/W4292291386","https://openalex.org/W4294151706","https://openalex.org/W4294170691","https://openalex.org/W4298621472","https://openalex.org/W4312040125","https://openalex.org/W4378227790","https://openalex.org/W4378779717","https://openalex.org/W4385679821","https://openalex.org/W4390236359","https://openalex.org/W6628435723","https://openalex.org/W6632971680","https://openalex.org/W6682691769","https://openalex.org/W6683738474","https://openalex.org/W6739901393","https://openalex.org/W6763701032","https://openalex.org/W6853399139"],"related_works":["https://openalex.org/W2744241569","https://openalex.org/W3157828377","https://openalex.org/W4377992839","https://openalex.org/W2937168573","https://openalex.org/W2261525379","https://openalex.org/W2162769527","https://openalex.org/W2805468299","https://openalex.org/W2889935511","https://openalex.org/W4231652189","https://openalex.org/W2608358066"],"abstract_inverted_index":{"In":[0,21,39],"the":[1,4,10,22,40,69,99,107,128,148,167,172,176,197,205,209,221,231,243],"development":[2],"of":[3,8,12,27,36,71,78,101,208,233],"Power":[5],"Industry":[6],"Internet":[7,26],"Things,":[9,28],"security":[11,100],"data":[13,30,47,56,94,104,182,191,218,236,248],"interaction":[14,31,105],"has":[15],"always":[16],"been":[17],"an":[18],"important":[19],"challenge.":[20],"power-based":[23],"blockchain":[24],"Industrial":[25],"node":[29],"involves":[32],"a":[33,76,86],"large":[34],"amount":[35],"sensitive":[37,55,217],"data.":[38,67],"current":[41],"anti-leakage":[42,89],"strategy":[43],"for":[44,57,64,91,156,215,242],"power":[45,92,102,198,234,244],"business":[46,93,103,110,235],"interaction,":[48,95],"regular":[49,125],"expressions":[50,126],"are":[51],"used":[52],"to":[53,97,192,246],"identify":[54,193],"matching.":[58],"This":[59,115,143],"approach":[60],"is":[61,75,145,184],"only":[62],"suitable":[63],"simple":[65],"structured":[66,188],"For":[68],"processing":[70],"unstructured":[72,190],"data,":[73],"there":[74],"lack":[77],"practical":[79],"matching":[80,183],"strategies.":[81],"Therefore,":[82],"this":[83,213],"paper":[84,214],"proposes":[85],"deep":[87],"learning-based":[88],"method":[90,116,144,211],"aiming":[96],"ensure":[98,247],"between":[106],"State":[108],"Grid":[109],"platform":[111],"and":[112,122,127,169,189,238],"third-party":[113],"platforms.":[114],"combines":[117],"named":[118],"entity":[119],"recognition":[120],"technologies":[121],"comprehensively":[123],"uses":[124],"DeBERTa":[129,149],"(Decoding-enhanced":[130,150],"BERT":[131,151],"with":[132,152],"disentangled":[133,153],"attention)-BiLSTM":[134],"(Bidirectional":[135],"Long":[136],"Short-Term":[137],"Memory)-CRF":[138],"(Conditional":[139],"Random":[140],"Field)":[141],"model.":[142],"based":[146],"on":[147,186],"attention)":[154],"model":[155],"pre-training":[157],"feature":[158],"extraction.":[159],"It":[160],"extracts":[161],"sequence":[162],"context":[163],"semantic":[164],"features":[165],"through":[166,175],"BiLSTM,":[168],"finally":[170],"obtains":[171],"global":[173],"optimal":[174],"CRF":[177],"layer":[178],"tag":[179],"sequence.":[180],"Sensitive":[181],"performed":[185],"interactive":[187],"privacy-sensitive":[194],"information":[195],"in":[196,212],"business.":[199],"The":[200],"experimental":[201],"results":[202],"show":[203],"that":[204],"F1":[206],"score":[207],"proposed":[210],"identifying":[216],"entities":[219],"using":[220],"CLUENER":[222],"2020":[223],"dataset":[224],"reaches":[225],"81.26%,":[226],"which":[227],"can":[228],"effectively":[229],"prevent":[230],"risk":[232],"leakage":[237],"provide":[239],"innovative":[240],"solutions":[241],"industry":[245],"security.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
