{"id":"https://openalex.org/W7133339276","doi":"https://doi.org/10.1109/tfuzz.2026.3669922","title":"Intrusion Detection in Industrial Internet of Things Based on Granular-Ball Intuitionistic Fuzzy Sets","display_name":"Intrusion Detection in Industrial Internet of Things Based on Granular-Ball Intuitionistic Fuzzy Sets","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133339276","doi":"https://doi.org/10.1109/tfuzz.2026.3669922"},"language":null,"primary_location":{"id":"doi:10.1109/tfuzz.2026.3669922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2026.3669922","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Transactions on Fuzzy Systems","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/A5073181706","display_name":"Dajiang Chen","orcid":"https://orcid.org/0000-0003-0745-5836"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dajiang Chen","raw_affiliation_strings":["School of Sciences, Jimei University, Xiamen, China"],"raw_orcid":"https://orcid.org/0009-0002-7309-1620","affiliations":[{"raw_affiliation_string":"School of Sciences, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110471845","display_name":"Jialiang Xie","orcid":"https://orcid.org/0000-0002-2329-2144"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialiang Xie","raw_affiliation_strings":["School of Sciences, Jimei University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-2329-2144","affiliations":[{"raw_affiliation_string":"School of Sciences, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127993792","display_name":"Honghui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Honghui Wang","raw_affiliation_strings":["School of Civil Engineering, University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073181706"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34832614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"5","first_page":"1659","last_page":"1672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.17630000412464142,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.17630000412464142,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.09260000288486481,"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/T14175","display_name":"Intuitionistic Fuzzy Systems Applications","score":0.053199999034404755,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8003000020980835},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5773000121116638},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5331000089645386},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4643000066280365},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.45190000534057617},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44429999589920044},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.39239999651908875},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3441999852657318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016999959945679},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8003000020980835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6370999813079834},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5331000089645386},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.45190000534057617},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40549999475479126},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.39239999651908875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35370001196861267},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.3208000063896179},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.30970001220703125},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2026.3669922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2026.3669922","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1113838768","display_name":null,"funder_award_id":"12571585","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7029752401","display_name":null,"funder_award_id":"12271211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1489073918","https://openalex.org/W1986668511","https://openalex.org/W2087501680","https://openalex.org/W2099940443","https://openalex.org/W2142960677","https://openalex.org/W2165024836","https://openalex.org/W2334853001","https://openalex.org/W2484577372","https://openalex.org/W2591861165","https://openalex.org/W2607361017","https://openalex.org/W2809120701","https://openalex.org/W2811266402","https://openalex.org/W2908436867","https://openalex.org/W2909212627","https://openalex.org/W2940895343","https://openalex.org/W2944692378","https://openalex.org/W2958285686","https://openalex.org/W2966213627","https://openalex.org/W2985623930","https://openalex.org/W2997734707","https://openalex.org/W3027161298","https://openalex.org/W3084499081","https://openalex.org/W3085955590","https://openalex.org/W3092503698","https://openalex.org/W3108514737","https://openalex.org/W3111288713","https://openalex.org/W3115892855","https://openalex.org/W3136873430","https://openalex.org/W3190323067","https://openalex.org/W3191884578","https://openalex.org/W3192311699","https://openalex.org/W3197213531","https://openalex.org/W3202673875","https://openalex.org/W4205413245","https://openalex.org/W4206931805","https://openalex.org/W4226510616","https://openalex.org/W4292295629","https://openalex.org/W4292387448","https://openalex.org/W4310701589","https://openalex.org/W4311399005","https://openalex.org/W4313654696","https://openalex.org/W4316591601","https://openalex.org/W4364359932","https://openalex.org/W4366133297","https://openalex.org/W4366606623","https://openalex.org/W4367367900","https://openalex.org/W4387394267","https://openalex.org/W4387501456","https://openalex.org/W4388782207","https://openalex.org/W4390737701","https://openalex.org/W4391733508","https://openalex.org/W4393204095","https://openalex.org/W4393864808","https://openalex.org/W4394065355","https://openalex.org/W4394699061","https://openalex.org/W4396712983","https://openalex.org/W4396841887","https://openalex.org/W4397292167","https://openalex.org/W4399557292","https://openalex.org/W4400033073","https://openalex.org/W4400229240","https://openalex.org/W4400270287","https://openalex.org/W4401437988","https://openalex.org/W4401675889","https://openalex.org/W4401816616","https://openalex.org/W4405968111","https://openalex.org/W4408400643","https://openalex.org/W4411600542"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,5,34,50,95,103,115,131,179,183,201],"deep":[2],"integration":[3],"of":[4,8,39,99,105,134,182,205],"Industrial":[6],"Internet":[7],"Things":[9],"(IIoT)":[10],"into":[11,85],"critical":[12],"domains":[13],"such":[14],"as":[15],"intelligent":[16],"manufacturing":[17],"and":[18,37,49,137,154,168,188,203,211],"energy":[19],"management,":[20],"its":[21],"cybersecurity":[22],"risks":[23],"are":[24],"increasing.":[25],"Traditional":[26],"intrusion":[27,40,64,90,161,171,206],"detection":[28,54,65,162,172],"algorithms":[29],"struggle":[30],"to":[31,46,109,121,130,147],"effectively":[32],"handle":[33,110],"heterogeneity,":[35],"sparsity,":[36],"complexity":[38],"patterns":[41],"in":[42,196],"IIoT":[43,135,160,215],"systems,":[44],"leading":[45],"performance":[47,181],"limitations":[48],"need":[51],"for":[52,214],"improved":[53,140],"capabilities":[55],"through":[56],"new":[57],"algorithms.":[58],"Therefore,":[59],"this":[60,113,197],"paper":[61,198],"proposes":[62],"an":[63,139],"framework":[66,76,185,194],"based":[67],"on":[68,159],"Granular-Ball":[69,123],"Intuitionistic":[70,124],"Fuzzy":[71,125],"Sets":[72],"(GBIFS).":[73],"The":[74,192],"proposed":[75,116,184,195],"introduces":[77],"a":[78,209],"novel":[79],"class-wise":[80],"granular-ball":[81,100],"generation":[82,117],"method":[83,118],"integrated":[84],"intuitionistic":[86,106,141],"fuzzy":[87,107,142],"sets,":[88],"improving":[89],"pattern":[91],"analysis":[92],"by":[93],"combining":[94],"adaptive":[96],"multi-granularity":[97],"representation":[98],"theory":[101],"with":[102],"capability":[104],"sets":[108],"uncertainty.":[111],"In":[112],"framework,":[114],"is":[119,145,218],"used":[120],"construct":[122],"Patterns":[126],"(GBIFP)":[127],"that":[128],"conform":[129],"feature":[132],"distribution":[133],"data,":[136],"then":[138],"distance":[143],"metric":[144],"introduced":[146],"achieve":[148],"precise":[149],"classification":[150],"between":[151],"normal":[152],"traffic":[153],"attack":[155],"behavior.":[156],"Extensive":[157],"experiments":[158],"datasets":[163,173],"(e.g.,":[164,174],"X-IIoTID,":[165],"TON-IOT,":[166],"WUSTL-IIOT)":[167],"classical":[169],"network":[170],"KDDCUP99,":[175],"NSL-KDD,":[176],"UNSW-NB15)":[177],"demonstrate":[178],"superior":[180],"under":[186],"heterogeneous":[187],"sparse":[189],"data":[190],"conditions.":[191],"GBIFS":[193],"significantly":[199],"enhances":[200],"accuracy":[202],"efficiency":[204],"detection,":[207],"providing":[208],"scalable":[210],"robust":[212],"solution":[213],"cybersecurity.":[216],"Code":[217],"available":[219],"at":[220],"<uri":[221],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[222],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/QzEylsia7/Intrusion-Detection-using-Granular-Ball-Intuitionistic-Fuzzy-Sets</uri>":[223]},"counts_by_year":[],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2026-03-04T00:00:00"}