{"id":"https://openalex.org/W3124145133","doi":"https://doi.org/10.1155/2021/6610675","title":"A Novel Framework Design of Network Intrusion Detection Based on Machine Learning Techniques","display_name":"A Novel Framework Design of Network Intrusion Detection Based on Machine Learning Techniques","publication_year":2021,"publication_date":"2021-01-25","ids":{"openalex":"https://openalex.org/W3124145133","doi":"https://doi.org/10.1155/2021/6610675","mag":"3124145133"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6610675","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6610675","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/6610675.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/scn/2021/6610675.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056363501","display_name":"Chongzhen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongzhen Zhang","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602469","display_name":"Yanli Chen","orcid":"https://orcid.org/0000-0003-4452-5725"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Chen","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113871819","display_name":"Yang Meng","orcid":"https://orcid.org/0000-0001-6559-5242"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Meng","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067511298","display_name":"Fangming Ruan","orcid":"https://orcid.org/0000-0003-2338-2358"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fangming Ruan","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0003-2338-2358","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721148","display_name":"Runze Chen","orcid":"https://orcid.org/0000-0002-4185-3574"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runze Chen","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060811936","display_name":"Yidan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidan Li","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053179522","display_name":"Yaru Yang","orcid":"https://orcid.org/0000-0002-2036-5854"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaru Yang","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China","institution_ids":["https://openalex.org/I154893126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067511298"],"corresponding_institution_ids":["https://openalex.org/I154893126"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":7.2099,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.97225718,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"15"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994000196456909,"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":0.9973999857902527,"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":0.8901535868644714},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7431102991104126},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6369633078575134},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6256572604179382},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5522081851959229},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5163353681564331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5078144669532776},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5034274458885193},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4506344199180603},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4243674874305725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39693284034729004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36490219831466675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29196897149086},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.10620799660682678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8901535868644714},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7431102991104126},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6369633078575134},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6256572604179382},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5522081851959229},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5163353681564331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5078144669532776},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5034274458885193},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4506344199180603},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4243674874305725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39693284034729004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36490219831466675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29196897149086},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.10620799660682678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6610675","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6610675","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/6610675.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3094406f6edb46b8a953acc61a808cc8","is_oa":false,"landing_page_url":"https://doaj.org/article/3094406f6edb46b8a953acc61a808cc8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Security and Communication Networks, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6610675","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6610675","pdf_url":"https://downloads.hindawi.com/journals/scn/2021/6610675.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3124145133.pdf","grobid_xml":"https://content.openalex.org/works/W3124145133.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1991796154","https://openalex.org/W1993913559","https://openalex.org/W2099940443","https://openalex.org/W2176412452","https://openalex.org/W2342408547","https://openalex.org/W2399941526","https://openalex.org/W2512144135","https://openalex.org/W2615173403","https://openalex.org/W2732383329","https://openalex.org/W2751399725","https://openalex.org/W2762776925","https://openalex.org/W2766312160","https://openalex.org/W2783741806","https://openalex.org/W2798248638","https://openalex.org/W2803414046","https://openalex.org/W2890474333","https://openalex.org/W2890840584","https://openalex.org/W2899633196","https://openalex.org/W2905872522","https://openalex.org/W2921708219","https://openalex.org/W2924211215","https://openalex.org/W2947334153","https://openalex.org/W2950124051","https://openalex.org/W2952518600","https://openalex.org/W2963285578","https://openalex.org/W2969863169","https://openalex.org/W2973862992","https://openalex.org/W2978600995","https://openalex.org/W2995778637","https://openalex.org/W2996900869","https://openalex.org/W3003685271","https://openalex.org/W3010957669","https://openalex.org/W3013549383","https://openalex.org/W3041985106","https://openalex.org/W3066903532","https://openalex.org/W3082065751","https://openalex.org/W6674887505"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Traditional":[0],"machine":[1],"learning-based":[2],"intrusion":[3,13,40,46],"detection":[4,21,41,47],"often":[5],"only":[6],"considers":[7],"a":[8,43,85],"single":[9],"algorithm":[10],"to":[11,35,83,125,148,193],"identify":[12],"data,":[14,26],"lack":[15],"of":[16,39,56,101,136,152,161],"the":[17,37,74,80,90,96,107,118,126,137,145,149,153,156,159,178,182,184,190],"flexibility":[18],"method,":[19],"low":[20],"rate,":[22],"no":[23],"handing":[24],"high-dimensional":[25],"and":[27,67,89,115,121,132,164,172],"cannot":[28],"solve":[29],"these":[30,123],"problems":[31],"well.":[32],"In":[33],"order":[34],"improve":[36],"performance":[38,139],"system,":[42],"novel":[44],"general":[45],"framework":[48,138,192],"was":[49,142,175,186],"proposed":[50,191],"in":[51,106],"this":[52],"paper,":[53],"which":[54,110],"consists":[55],"five":[57],"parts:":[58],"preprocessing":[59,75],"module,":[60,62,64,66],"autoencoder":[61,81],"database":[63,108],"classification":[65,91,97,119,163,166],"feedback":[68],"module.":[69,98],"The":[70],"data":[71],"processed":[72],"by":[73,79],"module":[76,82,109,120],"are":[77,104],"compressed":[78],"obtain":[84],"lower-dimensional":[86],"reconstruction":[87],"feature,":[88],"result":[92],"is":[93,167],"obtained":[94],"through":[95],"Compressed":[99],"features":[100,124],"each":[102],"traffic":[103,128,151],"stored":[105],"can":[111],"both":[112],"provide":[113],"retraining":[114],"testing":[116],"for":[117,129,177],"restore":[122],"original":[127],"postevent":[130],"analysis":[131],"forensics.":[133],"For":[134],"evaluation":[135],"proposed,":[140],"simulation":[141],"conducted":[143],"with":[144],"CICIDS2017":[146],"dataset":[147],"real":[150],"network.":[154],"As":[155],"experimental":[157],"results,":[158],"accuracy":[160,174],"binary":[162],"multiclass":[165],"better":[168],"than":[169],"previous":[170],"work,":[171],"high-level":[173],"reached":[176],"restored":[179],"traffic.":[180],"At":[181],"last,":[183],"possibility":[185],"discussed":[187],"on":[188],"applying":[189],"edge/fog":[194],"networks.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}