{"id":"https://openalex.org/W4406110711","doi":"https://doi.org/10.1109/jiot.2025.3526160","title":"Complicated Imbalanced and Overlapped Data Oversampling Approach via Hypersphere Coverage and Adaptive Differential Evolution for Anomaly Detection of Industrial Internet of Things","display_name":"Complicated Imbalanced and Overlapped Data Oversampling Approach via Hypersphere Coverage and Adaptive Differential Evolution for Anomaly Detection of Industrial Internet of Things","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4406110711","doi":"https://doi.org/10.1109/jiot.2025.3526160"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3526160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3526160","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/A5016584004","display_name":"Wenli Shang","orcid":"https://orcid.org/0000-0001-6022-5381"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenli Shang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6022-5381","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683395","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0001-8480-4628"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["School of Cyber Science and Technology, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8480-4628","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024674202","display_name":"Xueying Yang","orcid":"https://orcid.org/0000-0001-6788-0688"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Yang","raw_affiliation_strings":["Information Security Evaluation Center of Civil Aviation, Civil Aviation University of China, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Security Evaluation Center of Civil Aviation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaojun Gu","orcid":"https://orcid.org/0009-0000-3995-0191"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojun Gu","raw_affiliation_strings":["Information Security Evaluation Center of Civil Aviation, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0000-3995-0191","affiliations":[{"raw_affiliation_string":"Information Security Evaluation Center of Civil Aviation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019679816","display_name":"He Sui","orcid":"https://orcid.org/0000-0002-4932-0502"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Sui","raw_affiliation_strings":["School of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4932-0502","affiliations":[{"raw_affiliation_string":"School of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016584004"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":15.2128,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98571023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"10","first_page":"14002","last_page":"14015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9926000237464905,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.8188135027885437},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7452314496040344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6394975185394287},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6031363606452942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5359652042388916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5295922160148621},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5203742384910583},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5051859021186829},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4754454791545868},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46264350414276123},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4543520510196686},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.4185270071029663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34455305337905884},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08798915147781372}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.8188135027885437},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7452314496040344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394975185394287},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6031363606452942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5359652042388916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5295922160148621},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5203742384910583},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5051859021186829},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4754454791545868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46264350414276123},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4543520510196686},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.4185270071029663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34455305337905884},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08798915147781372},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3526160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3526160","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":[],"awards":[{"id":"https://openalex.org/G4858318468","display_name":null,"funder_award_id":"62173101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8191917440","display_name":null,"funder_award_id":"U2333201","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":45,"referenced_works":["https://openalex.org/W2040181375","https://openalex.org/W2107138773","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2155529731","https://openalex.org/W2766296277","https://openalex.org/W2790031975","https://openalex.org/W2961333734","https://openalex.org/W2971644666","https://openalex.org/W2992616003","https://openalex.org/W3011722050","https://openalex.org/W3034578890","https://openalex.org/W3039681214","https://openalex.org/W3084392724","https://openalex.org/W3095539085","https://openalex.org/W3120644841","https://openalex.org/W3127988644","https://openalex.org/W3155962425","https://openalex.org/W3175100823","https://openalex.org/W3186409582","https://openalex.org/W3215805924","https://openalex.org/W4206516131","https://openalex.org/W4210971508","https://openalex.org/W4220717373","https://openalex.org/W4221155428","https://openalex.org/W4280500182","https://openalex.org/W4285212650","https://openalex.org/W4288457444","https://openalex.org/W4292170267","https://openalex.org/W4311897878","https://openalex.org/W4380303034","https://openalex.org/W4380841555","https://openalex.org/W4382047854","https://openalex.org/W4384636150","https://openalex.org/W4385336169","https://openalex.org/W4385521733","https://openalex.org/W4385521783","https://openalex.org/W4387122051","https://openalex.org/W4390796354","https://openalex.org/W4391805143","https://openalex.org/W4393128757","https://openalex.org/W4396508801","https://openalex.org/W4400905252","https://openalex.org/W4401561064","https://openalex.org/W6791222398"],"related_works":["https://openalex.org/W2091873975","https://openalex.org/W1512263373","https://openalex.org/W158209328","https://openalex.org/W1983643426","https://openalex.org/W4200464085","https://openalex.org/W2385299555","https://openalex.org/W2770473807","https://openalex.org/W2886321183","https://openalex.org/W1490526350","https://openalex.org/W3217300021"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,32,147,218,229],"is":[2,175,203],"a":[3,42,162],"unique":[4],"type":[5],"of":[6,11,17,26,69,104,117,172,181,185],"classification":[7,224],"challenge.":[8],"The":[9,170,197,244],"coupling":[10],"imbalance,":[12],"overlap":[13,61,209],"and":[14,55,67,90,138,159,188,240],"other":[15,254],"complexity":[16],"the":[18,31,102,131,135,140,142,146,204,217,221,227],"data":[19],"such":[20],"as":[21],"noise":[22,89],"in":[23],"industrial":[24],"internet":[25],"things":[27],"(IIoT)":[28],"scenarios":[29],"affect":[30],"accuracy":[33],"seriously.":[34],"To":[35],"address":[36,167],"this":[37,39,173],"issue,":[38],"article":[40],"proposes":[41],"novel":[43],"oversampling":[44,50],"approach":[45],"based":[46,93,154],"on":[47,94,155],"synthetic":[48],"minority":[49,88,150],"technology":[51],"via":[52],"hypersphere":[53,95,157],"coverage":[54,96],"adaptive":[56,112],"differential":[57,113],"evolution":[58,114],"(HCADE-SMOTE).":[59],"However,":[60],"intensification":[62],"caused":[63],"by":[64,177],"generated":[65],"samples":[66,86,92,107,127,151],"over-loss":[68],"valid":[70],"information":[71,123],"have":[72],"always":[73],"been":[74],"crucial":[75],"problems":[76],"for":[77,145,226],"traditional":[78],"SMOTE-based":[79,195,255],"approaches.":[80],"In":[81],"HCADE-SMOTE,":[82,216],"we":[83,100],"identify":[84],"error-prone":[85,106,126],"including":[87],"boundary":[91,136,144],"algorithm":[97],"first.":[98],"Then,":[99],"fine-tune":[101],"distribution":[103,137],"these":[105],"before":[108],"generation":[109],"with":[110,161,192,210,223],"an":[111],"algorithm.":[115],"Instead":[116],"deletion":[118],"mechanism,":[119],"it":[120],"avoids":[121],"transitional":[122],"loss.":[124],"With":[125],"far":[128],"away":[129],"from":[130,179,253],"boundary,":[132],"HCADE-SMOTE":[133,174,202,249],"improves":[134],"simplifies":[139],"judge":[141],"decision":[143],"models.":[148],"Furthermore,":[149],"are":[152],"oversampled":[153],"local":[156],"density":[158],"compactness":[160],"weighted":[163],"SMOTE":[164],"mechanism":[165],"to":[166,207,258],"imbalance":[168],"problem.":[169],"superiority":[171],"verified":[176],"experiments":[178],"optimization":[180],"sample":[182],"distribution,":[183],"effect":[184],"anomaly":[186],"detection,":[187],"statistical":[189,245],"tests,":[190],"compared":[191],"7":[193],"well-known":[194],"methods.":[196],"experimental":[198],"results":[199,219],"show":[200],"that":[201],"most":[205],"prominent":[206],"alleviate":[208],"Fishers":[211],"discriminant":[212],"ratio":[213],"metric.":[214],"After":[215],"reached":[220],"best":[222],"metrics,":[225],"four":[228],"models":[230],"Support":[231],"Vector":[232],"Machines":[233],"(SVM),":[234],"Logistic":[235],"Regression":[236],"(LR),":[237],"Naive":[238],"Bayes,":[239],"Decision":[241],"Tree":[242],"(DT).":[243],"tests":[246],"also":[247],"prove":[248],"has":[250],"significant":[251],"difference":[252],"methods,":[256],"superior":[257],"them.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}