{"id":"https://openalex.org/W7155209145","doi":"https://doi.org/10.1109/jiot.2026.3686701","title":"HITE: A Hierarchical Intrinsically Interpretable Trust Evaluation Framework for Industrial IoT","display_name":"HITE: A Hierarchical Intrinsically Interpretable Trust Evaluation Framework for Industrial IoT","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155209145","doi":"https://doi.org/10.1109/jiot.2026.3686701"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3686701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3686701","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5124068294","display_name":"Meng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124058283","display_name":"Yuliang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Cheng","raw_affiliation_strings":["College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0003-3580-7891","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134241762","display_name":"Changyu Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyu Xi","raw_affiliation_strings":["College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134286282","display_name":"Hangyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangyu Wang","raw_affiliation_strings":["Institute of Information Engineering, CAS, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-8234-2940","affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079642914","display_name":"Tong Cui","orcid":"https://orcid.org/0009-0006-5139-1242"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Cui","raw_affiliation_strings":["College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.51875027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"14","first_page":"30920","last_page":"30932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.26499998569488525,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.26499998569488525,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.16529999673366547,"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/T11424","display_name":"Security and Verification in Computing","score":0.07819999754428864,"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/internet-of-things","display_name":"Internet of Things","score":0.5268999934196472},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.28540000319480896},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2833999991416931},{"id":"https://openalex.org/keywords/electronic-mail","display_name":"Electronic mail","score":0.26260000467300415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800999879837036},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35010001063346863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3492000102996826},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2538999915122986},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2460000067949295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23839999735355377}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3686701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3686701","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47089260816574097,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,5,50,135],"rapid":[2],"evolution":[3],"of":[4,8,52,138,147,206,219],"Industrial":[6],"Internet":[7],"Things":[9],"(IIoT),":[10],"dynamic":[11],"trust":[12],"evaluation":[13,202],"for":[14,25],"substantial":[15],"industrial":[16,192],"devices":[17],"has":[18],"emerged":[19],"as":[20],"a":[21,75,124,158,224],"critical":[22,76,225],"defense":[23],"line":[24],"IIoT":[26,97],"security.":[27],"Although":[28],"Deep":[29],"Learning":[30],"(DL)":[31],"models":[32,101],"are":[33],"widely":[34],"adopted":[35],"due":[36],"to":[37,107,113,142,231],"their":[38,41],"superior":[39,201],"performance,":[40,203],"inherent":[42],"\u201cblack-box\u201d":[43],"nature":[44],"causes":[45],"severe":[46],"feature":[47,178],"entanglement,":[48],"hindering":[49],"establishment":[51],"trustworthy":[53],"decision-making":[54],"grounds.":[55],"To":[56,117],"mitigate":[57],"this":[58,119,132],"opacity,":[59],"Explainable":[60],"AI":[61],"(XAI)":[62],"paradigms\u2014primarily":[63],"Post-hoc":[64],"Explanation":[65],"and":[66,92,166,184,195,208,221],"Intrinsic":[67],"Interpretability\u2014have":[68],"been":[69],"introduced.":[70],"However,":[71],"existing":[72],"approaches":[73],"face":[74],"dilemma:":[77],"post-hoc":[78],"methods":[79,216],"merely":[80],"approximate":[81],"model":[82],"behaviors":[83],"via":[84],"input":[85],"perturbations,":[86],"often":[87,105],"suffering":[88],"from":[89,228],"low":[90],"fidelity":[91],"approximation":[93],"errors":[94],"in":[95,217],"high-dimensional":[96],"scenarios;":[98],"traditional":[99],"intrinsic":[100],"guarantee":[102],"transparency":[103],"but":[104],"fail":[106],"capture":[108],"complex":[109],"nonlinear":[110],"patterns,":[111],"leading":[112],"suboptimal":[114],"detection":[115],"accuracy.":[116],"reconcile":[118],"trade-off,":[120],"we":[121],"propose":[122],"HITE,":[123],"Hierarchical":[125],"Intrinsically":[126],"Interpretable":[127],"Trust":[128],"Evaluation":[129],"framework.":[130],"Uniquely,":[131],"framework":[133],"leverages":[134],"additive":[136,145],"structure":[137],"Kolmogorov-Arnold":[139],"Networks":[140],"(KAN)":[141],"achieve":[143],"explicit":[144,167],"decomposition":[146],"raw":[148],"features.":[149],"By":[150],"synergizing":[151],"with":[152],"structured":[153],"decision":[154,168,182],"trees,":[155],"HITE":[156,199,212],"constructs":[157],"hybrid":[159],"reasoning":[160],"chain":[161],"characterized":[162],"by":[163],"transparent":[164],"representation":[165,180],"logic.":[169],"It":[170],"provides":[171],"end-to-end":[172],"traceable":[173],"explanations":[174],"across":[175],"four":[176],"dimensions:":[177],"mapping,":[179],"attribution,":[181],"path,":[183],"outcome":[185],"scoring.":[186],"Experiments":[187],"conducted":[188],"on":[189],"two":[190],"real-world":[191],"benchmarks,":[193],"X-IIoTID":[194],"ToN-IoT,":[196],"demonstrate":[197],"that":[198],"achieves":[200],"attaining":[204],"accuracies":[205],"99.31%":[207],"98.96%,":[209],"respectively.":[210],"Crucially,":[211],"outperforms":[213],"mainstream":[214],"explanation":[215],"terms":[218],"faithfulness":[220],"stability,":[222],"realizing":[223],"paradigm":[226],"shift":[227],"\u201cNumerical":[229],"Prediction\u201d":[230],"\u201cTrusted":[232],"Reasoning\u201d.":[233]},"counts_by_year":[],"updated_date":"2026-07-09T05:49:46.723101","created_date":"2026-04-23T00:00:00"}