{"id":"https://openalex.org/W3008195198","doi":"https://doi.org/10.1109/access.2020.2977007","title":"Network Intrusion Detection Based on Supervised Adversarial Variational Auto-Encoder With Regularization","display_name":"Network Intrusion Detection Based on Supervised Adversarial Variational Auto-Encoder With Regularization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3008195198","doi":"https://doi.org/10.1109/access.2020.2977007","mag":"3008195198"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2977007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977007","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09017945.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09017945.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005945711","display_name":"Yanqing Yang","orcid":"https://orcid.org/0000-0001-9993-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanqing Yang","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, China","Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9993-7757","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076259905","display_name":"Kangfeng Zheng","orcid":"https://orcid.org/0000-0002-1160-5596"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangfeng Zheng","raw_affiliation_strings":["School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1160-5596","affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101512417","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0003-0657-3427"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0657-3427","affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071134614","display_name":"Yixian Yang","orcid":"https://orcid.org/0000-0001-8067-4774"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixian Yang","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, China","Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8067-4774","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706835","display_name":"Xiujuan Wang","orcid":"https://orcid.org/0000-0003-1520-9053"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujuan Wang","raw_affiliation_strings":["College of Computer Sciences, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1520-9053","affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005945711"],"corresponding_institution_ids":["https://openalex.org/I139759216","https://openalex.org/I178232147","https://openalex.org/I96908189"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":16.0242,"has_fulltext":true,"cited_by_count":178,"citation_normalized_percentile":{"value":0.99295707,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"42169","last_page":"42184"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9952999949455261,"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":0.8285582065582275},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6442049741744995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.606545090675354},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5946305990219116},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5263693928718567},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5157592296600342},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4988400936126709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49585089087486267},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.4530574381351471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44143998622894287},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42918241024017334},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4156607389450073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3402627110481262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285582065582275},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6442049741744995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.606545090675354},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5946305990219116},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5263693928718567},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5157592296600342},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4988400936126709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49585089087486267},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.4530574381351471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44143998622894287},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42918241024017334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4156607389450073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3402627110481262},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2977007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977007","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09017945.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4df61ebceb634c46a85420475dbf87a0","is_oa":true,"landing_page_url":"https://doaj.org/article/4df61ebceb634c46a85420475dbf87a0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 42169-42184 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2977007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2977007","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09017945.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1860484090","display_name":null,"funder_award_id":"61602052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4938714956","display_name":null,"funder_award_id":"2017YFB0802703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5562342695","display_name":null,"funder_award_id":"2017YFB0802703","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3008195198.pdf","grobid_xml":"https://content.openalex.org/works/W3008195198.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2031163547","https://openalex.org/W2099940443","https://openalex.org/W2104933073","https://openalex.org/W2148143831","https://openalex.org/W2187089797","https://openalex.org/W2296509296","https://openalex.org/W2334853001","https://openalex.org/W2339172597","https://openalex.org/W2426032775","https://openalex.org/W2467604901","https://openalex.org/W2521200999","https://openalex.org/W2531448500","https://openalex.org/W2597472767","https://openalex.org/W2600328926","https://openalex.org/W2625602624","https://openalex.org/W2740755977","https://openalex.org/W2749908420","https://openalex.org/W2753738274","https://openalex.org/W2762776925","https://openalex.org/W2766315530","https://openalex.org/W2783741806","https://openalex.org/W2786672974","https://openalex.org/W2789828921","https://openalex.org/W2803881474","https://openalex.org/W2807319534","https://openalex.org/W2809471091","https://openalex.org/W2888728157","https://openalex.org/W2900104313","https://openalex.org/W2913330314","https://openalex.org/W2926701059","https://openalex.org/W2942788712","https://openalex.org/W2952448932","https://openalex.org/W2958489519","https://openalex.org/W2964201867","https://openalex.org/W2971074500","https://openalex.org/W2977545581","https://openalex.org/W2979654309","https://openalex.org/W2982682021","https://openalex.org/W3082814285","https://openalex.org/W4288325105","https://openalex.org/W4293568373","https://openalex.org/W4293713156","https://openalex.org/W4295521014","https://openalex.org/W4300590963","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6675634716","https://openalex.org/W6703720303","https://openalex.org/W6720208624","https://openalex.org/W6732249622","https://openalex.org/W6735913928","https://openalex.org/W6744627333","https://openalex.org/W6746090955","https://openalex.org/W6748424917","https://openalex.org/W6748816842","https://openalex.org/W6752110724","https://openalex.org/W6754235555","https://openalex.org/W6761134066","https://openalex.org/W6762931180","https://openalex.org/W6764595916","https://openalex.org/W6779669310","https://openalex.org/W6780248173"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W3163146846"],"abstract_inverted_index":{"To":[0],"explore":[1,104],"the":[2,32,51,56,60,77,84,94,97,101,109,125,128,136,146,154,185,188],"advantages":[3],"of":[4,35,50,59,70,79,96,100,108,127,196],"adversarial":[5],"learning":[6],"and":[7,26,72,82,103,118,165,172,203],"deep":[8],"learning,":[9],"we":[10],"propose":[11],"a":[12,40],"novel":[13],"network":[14],"intrusion":[15,180],"detection":[16,33,163,181,199],"model":[17],"called":[18],"SAVAER-DNN,":[19],"which":[20,46],"can":[21],"not":[22],"only":[23],"detect":[24],"known":[25],"unknown":[27,73,173],"attacks":[28],"but":[29],"also":[30],"improve":[31],"rate":[34],"low-frequent":[36,71,171],"attacks.":[37,174],"SAVAER":[38],"is":[39,65,90,139,166],"supervised":[41],"variational":[42],"auto-encoder":[43],"with":[44,177],"regularization,":[45],"uses":[47],"WGAN-GP":[48],"instead":[49],"vanilla":[52],"GAN":[53],"to":[54,67,92,123],"learn":[55],"latent":[57],"distribution":[58],"original":[61,110],"data.":[62],"SAVAER's":[63,88],"decoder":[64],"used":[66,91,122],"synthesize":[68],"samples":[69,81],"attacks,":[74],"thereby":[75],"increasing":[76],"diversity":[78],"training":[80,85],"balancing":[83],"data":[86,143,150],"set.":[87],"encoder":[89],"initialize":[93],"weights":[95],"hidden":[98],"layers":[99],"DNN":[102],"high-level":[105],"feature":[106],"representations":[107],"samples.":[111],"The":[112,131],"benchmark":[113],"NSL-KDD":[114,116],"(KDDTest+),":[115],"(KDDTest-21)":[117],"UNSW-NB15":[119],"datasets":[120],"are":[121],"evaluate":[124],"performance":[126,164,193],"proposed":[129,137,155,189],"model.":[130],"experimental":[132],"results":[133],"show":[134],"that":[135],"SAVAER-DNN":[138,156,190],"more":[140,167],"suitable":[141],"for":[142],"augmentation":[144],"than":[145],"other":[147,178],"three":[148],"well-known":[149,159],"oversampling":[151],"methods.":[152],"Moreover,":[153],"outperforms":[157],"eight":[158],"classification":[160],"models":[161,182],"in":[162,169,184,194],"effective":[168],"detecting":[170],"Furthermore,":[175],"compared":[176],"state-of-the-art":[179],"reported":[183],"IDS":[186],"literature,":[187],"offers":[191],"better":[192],"terms":[195],"overall":[197],"accuracy,":[198],"rate,":[200],"F1":[201],"score,":[202],"false":[204],"positive":[205],"rate.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":39},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
