{"id":"https://openalex.org/W3184706227","doi":"https://doi.org/10.1109/infocomwkshps51825.2021.9484569","title":"Poster Abstract: A Semi-Supervised Approach for Network Intrusion Detection Using Generative Adversarial Networks","display_name":"Poster Abstract: A Semi-Supervised Approach for Network Intrusion Detection Using Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3184706227","doi":"https://doi.org/10.1109/infocomwkshps51825.2021.9484569","mag":"3184706227"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps51825.2021.9484569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps51825.2021.9484569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"article","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/A5074017473","display_name":"Hyejeong Jeong","orcid":"https://orcid.org/0000-0002-7906-1468"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyejeong Jeong","raw_affiliation_strings":["School of Cybersecurity, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966959","display_name":"Jieun Yu","orcid":"https://orcid.org/0000-0001-6588-0449"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jieun Yu","raw_affiliation_strings":["School of Cybersecurity, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602693","display_name":"Wonjun Lee","orcid":"https://orcid.org/0000-0001-5286-6541"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjun Lee","raw_affiliation_strings":["School of Cybersecurity, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.886,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91025955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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":0.9997000098228455,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9995999932289124,"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":0.8187603950500488},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7943556904792786},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6549925804138184},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6389501094818115},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5918165445327759},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5796034932136536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5375321507453918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5295387506484985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5291383862495422},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5150372982025146},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5039653182029724},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.4399828016757965},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2449948787689209},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1275213360786438},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11216303706169128},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09385687112808228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187603950500488},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7943556904792786},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6549925804138184},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6389501094818115},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5918165445327759},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5796034932136536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5375321507453918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5295387506484985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5291383862495422},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5150372982025146},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5039653182029724},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.4399828016757965},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2449948787689209},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1275213360786438},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11216303706169128},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09385687112808228},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps51825.2021.9484569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps51825.2021.9484569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2412510955","https://openalex.org/W2772317693","https://openalex.org/W2789828921","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W3035311645","https://openalex.org/W3047014424","https://openalex.org/W6685352114","https://openalex.org/W6715189028","https://openalex.org/W6718379498"],"related_works":["https://openalex.org/W2376886931","https://openalex.org/W2061466315","https://openalex.org/W4385421777","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":{"Network":[0],"intrusion":[1,62],"detection":[2,63],"is":[3,46,76],"a":[4,34,39,53],"crucial":[5],"task":[6],"since":[7],"malicious":[8],"traffic":[9,88],"occurs":[10],"every":[11],"second":[12],"these":[13],"days.":[14],"Various":[15],"research":[16],"has":[17],"been":[18],"studied":[19],"in":[20,33],"this":[21],"field":[22],"and":[23,84],"shows":[24],"high":[25],"performance.":[26],"However,":[27],"most":[28],"of":[29,41],"them":[30],"are":[31],"conducted":[32],"supervised":[35],"manner":[36],"that":[37,64],"needs":[38],"range":[40],"labeled":[42,68],"data":[43,69],"but":[44],"it":[45],"hard":[47],"to":[48],"obtain.":[49],"This":[50],"paper":[51],"proposes":[52],"semi-supervised":[54],"Generative":[55],"Adversarial":[56],"Networks":[57],"(GAN)":[58],"model":[59,75],"for":[60],"network":[61],"requires":[65],"only":[66],"10":[67],"per":[70],"each":[71],"flow":[72],"type.":[73],"Our":[74],"evaluated":[77],"using":[78],"the":[79],"publicly":[80],"available":[81],"CICIDS-2017":[82],"dataset":[83],"outperforms":[85],"other":[86],"malware":[87],"classification":[89],"models.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}