{"id":"https://openalex.org/W4410987591","doi":"https://doi.org/10.1109/eeet64351.2024.00011","title":"Wireless Sensor Network intrusion detection based on Borderline-SMOTE and Deep Ensemble Learning","display_name":"Wireless Sensor Network intrusion detection based on Borderline-SMOTE and Deep Ensemble Learning","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4410987591","doi":"https://doi.org/10.1109/eeet64351.2024.00011"},"language":"en","primary_location":{"id":"doi:10.1109/eeet64351.2024.00011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eeet64351.2024.00011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Electronics and Electrical Engineering Technology (EEET)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100348457","display_name":"Yadong Li","orcid":"https://orcid.org/0000-0003-2708-3101"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Li","raw_affiliation_strings":["Tiangong University School of Engineering And Information Engineering Engineering Research Center of Ministry of Education on High Power Solid State Lighting Application System Tianjin Key Laboratory of Optoelectronic Detection Technology and System,TianJin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tiangong University School of Engineering And Information Engineering Engineering Research Center of Ministry of Education on High Power Solid State Lighting Application System Tianjin Key Laboratory of Optoelectronic Detection Technology and System,TianJin,China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051770873","display_name":"Shuzhen Han","orcid":"https://orcid.org/0009-0004-1586-5354"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuzhen Han","raw_affiliation_strings":["Tiangong University Information Center Engineering Research Center of Ministry of Education on High Power Solid State Lighting Application System Tianjin Key Laboratory of Optoelectronic Detection Technology and System,TianJin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tiangong University Information Center Engineering Research Center of Ministry of Education on High Power Solid State Lighting Application System Tianjin Key Laboratory of Optoelectronic Detection Technology and System,TianJin,China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001894134","display_name":"Pingjuan Niu","orcid":"https://orcid.org/0000-0001-7888-7690"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingjuan Niu","raw_affiliation_strings":["Tiangong University School of Engineering And Information Engineering Engineering Research Center of Ministry of Education on High Power Solid State Lighting Application System Tianjin Key Laboratory of Optoelectronic Detection Technology and System,TianJin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tiangong University School of Engineering And Information Engineering Engineering Research Center of Ministry of Education on High Power Solid State Lighting Application System Tianjin Key Laboratory of Optoelectronic Detection Technology and System,TianJin,China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.7587000131607056,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.7587000131607056,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.6988999843597412,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6597999930381775,"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/computer-science","display_name":"Computer science","score":0.751396656036377},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.697115421295166},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6879165172576904},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4777209460735321},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4726247787475586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43976473808288574},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4365425109863281},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4299982190132141},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.42270058393478394},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12141987681388855},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.056824684143066406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751396656036377},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.697115421295166},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6879165172576904},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4777209460735321},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4726247787475586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43976473808288574},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4365425109863281},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4299982190132141},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.42270058393478394},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12141987681388855},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.056824684143066406},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eeet64351.2024.00011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eeet64351.2024.00011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Electronics and Electrical Engineering Technology (EEET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326709","display_name":"Tianjin Municipal Education Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2340896621","https://openalex.org/W2525336835","https://openalex.org/W2535642622","https://openalex.org/W2562319768","https://openalex.org/W2803881474","https://openalex.org/W2910197492","https://openalex.org/W2919115771","https://openalex.org/W3014545861","https://openalex.org/W3036517673","https://openalex.org/W3149839747","https://openalex.org/W3213755975","https://openalex.org/W4295788744","https://openalex.org/W4392949721"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2906422846","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2133389611"],"abstract_inverted_index":{"With":[0],"the":[1,4,34,38,44,56,63,94,107,118,121,137,142],"development":[2],"of":[3,6,40,46,58,71,126],"Internet":[5],"Things":[7],"(IoT),":[8],"Wireless":[9],"Sensor":[10],"Networks":[11],"(WSNs)":[12],"are":[13],"widely":[14],"used":[15],"in":[16,62,128,141],"several":[17],"fields.":[18],"Due":[19],"to":[20,26,50,104],"limited":[21,51],"node":[22],"resources":[23],"and":[24,43,65,68,86,97,101,110,148],"vulnerability":[25],"attacks,":[27,150],"AI-driven":[28],"intrusion":[29,79],"detection":[30,52,80,108],"systems":[31],"have":[32],"become":[33],"main":[35],"means.":[36],"However,":[37],"imbalance":[39],"data":[41],"categories":[42],"diversity":[45],"attack":[47,60,131],"types":[48],"lead":[49],"performance,":[53],"so":[54],"for":[55,145,155],"problems":[57],"scarce":[59],"samples":[61],"dataset":[64],"insufficient":[66],"performance":[67],"generalization":[69],"ability":[70],"traditional":[72,138],"models,":[73],"this":[74],"paper":[75],"proposes":[76],"a":[77],"WSN":[78,156],"method":[81,91,122],"that":[82,115],"combines":[83],"Borderline-SMOTE":[84],"oversampling":[85],"deep":[87],"ensemble":[88,98],"learning.":[89],"The":[90],"effectively":[92],"balances":[93],"sample":[95],"distribution":[96],"LSTM,":[99],"CNN":[100],"ANN":[102],"models":[103],"significantly":[105],"improve":[106],"accuracy":[109,125],"robustness.":[111],"Experimental":[112],"results":[113],"show":[114],"based":[116],"on":[117],"WSN-DS":[119],"dataset,":[120],"achieves":[123],"an":[124,152],"99.20%":[127],"detecting":[129],"multiple":[130],"types,":[132],"which":[133],"is":[134],"better":[135],"than":[136],"methods,":[139],"especially":[140],"F1":[143],"scores":[144],"Blackhole,":[146],"Grayhole,":[147],"Flooding":[149],"providing":[151],"effective":[153],"solution":[154],"security.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
