{"id":"https://openalex.org/W4313525960","doi":"https://doi.org/10.1109/latincom56090.2022.10000559","title":"A Stacked Ensemble Classifier for an Intrusion Detection System in the Edge of IoT and IIoT Networks","display_name":"A Stacked Ensemble Classifier for an Intrusion Detection System in the Edge of IoT and IIoT Networks","publication_year":2022,"publication_date":"2022-11-30","ids":{"openalex":"https://openalex.org/W4313525960","doi":"https://doi.org/10.1109/latincom56090.2022.10000559"},"language":"en","primary_location":{"id":"doi:10.1109/latincom56090.2022.10000559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom56090.2022.10000559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Latin-American Conference on Communications (LATINCOM)","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/A5010820462","display_name":"Giovanni Aparecido Da Silva Oliveira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Aparecido Da Silva Oliveira","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020219543","display_name":"Priscila Serra Silva Lima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Priscila Serra Silva Lima","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069259459","display_name":"F\u00e1bio Kon","orcid":"https://orcid.org/0000-0003-3888-7340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabio Kon","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056885775","display_name":"Routo Terada","orcid":"https://orcid.org/0000-0001-9242-2806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Routo Terada","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067928085","display_name":"Daniel Mac\u00eado Batista","orcid":"https://orcid.org/0000-0002-4865-5896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel MaceDo Batista","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006191190","display_name":"Roberto Hirata","orcid":"https://orcid.org/0000-0003-3861-7260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberto Hirata","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010803372","display_name":"Mosab Hamdan","orcid":"https://orcid.org/0000-0002-1008-3028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mosab Hamdan","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Department of Computer Science,Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4264,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9045895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"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/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9984999895095825,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8402838110923767},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7010047435760498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460095643997192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6226231455802917},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5602303147315979},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5525481700897217},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5382179617881775},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5183175802230835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4702678620815277},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.46238675713539124},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4475918710231781},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10794267058372498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402838110923767},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7010047435760498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460095643997192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6226231455802917},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5602303147315979},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5525481700897217},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5382179617881775},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5183175802230835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4702678620815277},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.46238675713539124},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4475918710231781},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10794267058372498}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom56090.2022.10000559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom56090.2022.10000559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1970350787","https://openalex.org/W2028070713","https://openalex.org/W2064675550","https://openalex.org/W2099940443","https://openalex.org/W2143842190","https://openalex.org/W2154010977","https://openalex.org/W2295598076","https://openalex.org/W2296509296","https://openalex.org/W2529525882","https://openalex.org/W2787894218","https://openalex.org/W2789828921","https://openalex.org/W2794209590","https://openalex.org/W2892556724","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2919868916","https://openalex.org/W2963748489","https://openalex.org/W3011561529","https://openalex.org/W3014732532","https://openalex.org/W3015461837","https://openalex.org/W3085955590","https://openalex.org/W3104896896","https://openalex.org/W3126727929","https://openalex.org/W4200241844","https://openalex.org/W4206116579","https://openalex.org/W4307733048","https://openalex.org/W4307773588","https://openalex.org/W6891918480"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W4390905871","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W3036530763","https://openalex.org/W1514365828","https://openalex.org/W4390971112","https://openalex.org/W3149839747"],"abstract_inverted_index":{"Over":[0],"the":[1,48,59,65,77,85,123,137,160,167,177,186],"last":[2],"three":[3],"decades,":[4],"cyberattacks":[5],"have":[6],"become":[7],"a":[8,89,104,109,149],"threat":[9],"to":[10,46,63,75,83,126,147,153,192],"national":[11],"security.":[12],"These":[13],"attacks":[14],"can":[15],"compromise":[16],"Internet":[17,23],"of":[18,24,50,71,79,88,166],"Things":[19,25],"(IoT)":[20],"and":[21,28,42,74,91,135],"Industrial":[22],"(IIoT)":[26],"networks":[27],"affect":[29],"society.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"explore":[35],"Artificial":[36,118],"Intelligence":[37],"(AI)":[38],"techniques":[39],"with":[40,94,122],"Machine":[41],"Deep":[43],"Learning":[44],"models":[45,70,82,169],"improve":[47],"performance":[49],"an":[51,117],"anomaly-based":[52],"Intrusion":[53],"Detection":[54],"System":[55],"(IDS).":[56],"We":[57,115],"use":[58,148],"ensemble":[60,101,106,151],"classifier":[61,152],"method":[62],"find":[64],"best":[66,138],"combination":[67],"between":[68],"multiple":[69],"prediction":[72,87],"algorithms":[73],"stack":[76],"output":[78],"these":[80],"individual":[81,183],"obtain":[84],"final":[86],"new":[90],"unique":[92],"model":[93,129],"better":[95,175],"precision.":[96],"Although,":[97],"there":[98],"are":[99],"many":[100],"approaches,":[102],"finding":[103],"suitable":[105],"configuration":[107],"for":[108],"given":[110],"dataset":[111],"is":[112,145,189],"still":[113],"challenging.":[114],"designed":[116],"Neural":[119],"Network":[120],"(ANN)":[121],"Adam":[124],"optimizer":[125],"update":[127],"all":[128],"weights":[130],"based":[131],"on":[132],"training":[133],"data":[134],"achieve":[136,154],"performance.":[139],"The":[140],"result":[141,173],"shows":[142],"that":[143],"it":[144],"possible":[146],"stacked":[150],"good":[155],"evaluation":[156],"metrics.":[157],"For":[158],"instance,":[159],"average":[161],"accuracy":[162],"achieved":[163],"by":[164,180],"one":[165],"proposed":[168],"was":[170,174],"99.7%.":[171],"This":[172],"than":[176],"results":[178],"obtained":[179],"any":[181],"other":[182],"classifier.":[184],"All":[185],"developed":[187],"code":[188],"publicly":[190],"available":[191],"ensure":[193],"reproducibility.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
