{"id":"https://openalex.org/W3127350051","doi":"https://doi.org/10.1145/3437378.3437390","title":"A Comparative Study of ML-ELM and DNN for Intrusion Detection","display_name":"A Comparative Study of ML-ELM and DNN for Intrusion Detection","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3127350051","doi":"https://doi.org/10.1145/3437378.3437390","mag":"3127350051"},"language":"en","primary_location":{"id":"doi:10.1145/3437378.3437390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437378.3437390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Australasian Computer Science Week Multiconference","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/A5064277907","display_name":"Wencheng Yang","orcid":"https://orcid.org/0000-0001-7800-2215"},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wencheng Yang","raw_affiliation_strings":["Edith Cowan University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edith Cowan University, Australia","institution_ids":["https://openalex.org/I12079687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047661937","display_name":"Song Wang","orcid":"https://orcid.org/0000-0002-0239-7991"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["La Trobe University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037747860","display_name":"Michael N. Johnstone","orcid":"https://orcid.org/0000-0001-7192-7098"},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Johnstone","raw_affiliation_strings":["Edith Cowan University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edith Cowan University, Australia","institution_ids":["https://openalex.org/I12079687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3575,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76796082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9993000030517578,"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":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9347000122070312,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.8402326107025146},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7632305026054382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7595815658569336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5996646285057068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5923612713813782},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5631576776504517},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5140479803085327},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48392969369888306},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47911977767944336},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4100686013698578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34575992822647095},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09149056673049927}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8402326107025146},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7632305026054382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595815658569336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996646285057068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5923612713813782},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5631576776504517},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5140479803085327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48392969369888306},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47911977767944336},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4100686013698578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34575992822647095},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09149056673049927},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3437378.3437390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437378.3437390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Australasian Computer Science Week Multiconference","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.ecu.edu.au:ecuworkspost2013-10892","is_oa":false,"landing_page_url":"https://ro.ecu.edu.au/ecuworkspost2013/9886","pdf_url":null,"source":{"id":"https://openalex.org/S4306401966","display_name":"Edith Cowan University Research Online (Edith Cowan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12079687","host_organization_name":"Edith Cowan University","host_organization_lineage":["https://openalex.org/I12079687"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research outputs 2014 to 2021","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W435997009","https://openalex.org/W2023459473","https://openalex.org/W2052912973","https://openalex.org/W2056470375","https://openalex.org/W2115569246","https://openalex.org/W2125523891","https://openalex.org/W2141695047","https://openalex.org/W2296509296","https://openalex.org/W2301541953","https://openalex.org/W2461378669","https://openalex.org/W2527999453","https://openalex.org/W2549585799","https://openalex.org/W2552493337","https://openalex.org/W2560162835","https://openalex.org/W2762776925","https://openalex.org/W2804005712","https://openalex.org/W2809684781","https://openalex.org/W2900059805","https://openalex.org/W2907889246","https://openalex.org/W2915817060","https://openalex.org/W2926701059","https://openalex.org/W2940086296","https://openalex.org/W2947802941","https://openalex.org/W2981097869","https://openalex.org/W2994602700","https://openalex.org/W2999988394","https://openalex.org/W3004668461","https://openalex.org/W3028803210","https://openalex.org/W3029926096","https://openalex.org/W6664474006"],"related_works":["https://openalex.org/W2061466315","https://openalex.org/W2376886931","https://openalex.org/W1992118813","https://openalex.org/W2010561419","https://openalex.org/W2374845301","https://openalex.org/W2351448539","https://openalex.org/W1977863481","https://openalex.org/W2384741105","https://openalex.org/W1495178644","https://openalex.org/W2185594426"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,22,85],"remains":[2],"one":[3],"of":[4,92,111,121],"the":[5,41,57,73,80,90,93,107,118],"critical":[6],"research":[7],"issues":[8],"in":[9,83],"network":[10,27,44],"security.":[11],"Many":[12],"machine":[13,38,48],"learning":[14,37,49],"algorithms":[15,50,78,97],"have":[16],"been":[17],"proposed":[18],"to":[19,69],"develop":[20],"intrusion":[21,84],"systems,":[23],"which":[24],"can":[25],"categorize":[26],"traffic":[28],"into":[29],"normal":[30],"and":[31,40,95,105,109],"anomalous":[32],"classes.":[33],"The":[34,87],"multilayer":[35,59],"extreme":[36],"(ML-ELM)":[39],"deep":[42],"neural":[43],"(DNN)":[45],"are":[46,114],"two":[47,77],"based":[51],"on":[52,72],"different":[53],"theories/concepts":[54],"that":[55],"use":[56],"same":[58,81],"architecture.":[60],"In":[61,116],"this":[62],"paper,":[63],"a":[64],"comparative":[65],"study":[66,88],"is":[67,128],"performed":[68],"shed":[70],"light":[71],"selection":[74],"between":[75],"these":[76],"with":[79,124],"architecture":[82],"applications.":[86],"explores":[89],"performance":[91,119],"ML-ELM":[94],"DNN":[96],"under":[98],"similar":[99],"parameter":[100,126],"settings.":[101],"With":[102],"in-depth":[103],"analysis":[104],"discussions,":[106],"limitations":[108],"advantages":[110],"each":[112,122],"algorithm":[113,123],"outlined.":[115],"addition,":[117],"trend":[120],"increasing":[125],"values":[127],"studied.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}