{"id":"https://openalex.org/W4386214500","doi":"https://doi.org/10.1109/iscc58397.2023.10217901","title":"A Framework for Few-Shot Network Threats Based on Generative Adversarial Networks","display_name":"A Framework for Few-Shot Network Threats Based on Generative Adversarial Networks","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386214500","doi":"https://doi.org/10.1109/iscc58397.2023.10217901"},"language":"en","primary_location":{"id":"doi:10.1109/iscc58397.2023.10217901","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc58397.2023.10217901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium on Computers and Communications (ISCC)","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/A5100336362","display_name":"Long Chen","orcid":"https://orcid.org/0000-0001-6553-1572"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Beihang University, QI-AN XIN Group, China Applied Sciences and Technologies Research,Beijing Key Laboratory of Network Technology","Beijing Key Laboratory of Network Technology, Beihang University, QI-AN XIN Group, China Applied Sciences and Technologies Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, QI-AN XIN Group, China Applied Sciences and Technologies Research,Beijing Key Laboratory of Network Technology","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Key Laboratory of Network Technology, Beihang University, QI-AN XIN Group, China Applied Sciences and Technologies Research","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070787734","display_name":"Yanqing Song","orcid":"https://orcid.org/0000-0001-9700-4371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanqing Song","raw_affiliation_strings":["China Applied Sciences and Technologies Research, Beijing Aerospace Information Sciences and Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Applied Sciences and Technologies Research, Beijing Aerospace Information Sciences and Technologies","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435599","display_name":"Jianguo Chen","orcid":"https://orcid.org/0000-0001-5009-578X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianguo Chen","raw_affiliation_strings":["China Applied Sciences and Technologies Research, Beijing Aerospace Information Sciences and Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Applied Sciences and Technologies Research, Beijing Aerospace Information Sciences and Technologies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"41","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":0.9994000196456909,"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":0.9994000196456909,"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":0.9973999857902527,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8185146450996399},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6134021282196045},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5492531657218933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5434075593948364},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5230653882026672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5163692235946655},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.4915712773799896},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4902361035346985},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47959744930267334},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.46177518367767334},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45412296056747437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4339287579059601},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.428947389125824},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2688971757888794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185146450996399},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6134021282196045},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5492531657218933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5434075593948364},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5230653882026672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163692235946655},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.4915712773799896},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4902361035346985},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47959744930267334},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.46177518367767334},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45412296056747437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4339287579059601},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.428947389125824},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2688971757888794},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc58397.2023.10217901","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscc58397.2023.10217901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G3726963493","display_name":null,"funder_award_id":"62272024,61862008,U1636208,61902013","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1731081199","https://openalex.org/W1826232489","https://openalex.org/W1945616565","https://openalex.org/W2126316555","https://openalex.org/W2257979135","https://openalex.org/W2400000673","https://openalex.org/W2419501139","https://openalex.org/W2435473771","https://openalex.org/W2591788621","https://openalex.org/W2756489700","https://openalex.org/W2772303842","https://openalex.org/W2773479116","https://openalex.org/W2797488484","https://openalex.org/W2804860796","https://openalex.org/W2808498263","https://openalex.org/W2911200746","https://openalex.org/W2950776302","https://openalex.org/W2951523806","https://openalex.org/W2963108767","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W3045858585","https://openalex.org/W3099486271","https://openalex.org/W3116200192","https://openalex.org/W3210903652","https://openalex.org/W4210300416","https://openalex.org/W4294170691","https://openalex.org/W4298352377","https://openalex.org/W4309637529","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6640425456","https://openalex.org/W6682691769","https://openalex.org/W6750736493","https://openalex.org/W6770186645"],"related_works":["https://openalex.org/W1568520348","https://openalex.org/W3214407891","https://openalex.org/W3194113117","https://openalex.org/W4287020359","https://openalex.org/W3213194066","https://openalex.org/W268355439","https://openalex.org/W2967125893","https://openalex.org/W4385323698","https://openalex.org/W4385572368","https://openalex.org/W3134625169"],"abstract_inverted_index":{"A":[0],"small":[1],"amount":[2],"of":[3,14,21,36,51,66,86,97,114,126,139],"malicious":[4],"logs":[5,69],"is":[6,102],"confusing":[7],"and":[8,45,73,143],"unbalanced":[9],"for":[10,78],"a":[11,19,61],"large":[12],"number":[13],"normal":[15],"logs.":[16],"We":[17,58],"proposed":[18],"framework":[20],"network":[22],"threats":[23],"sample":[24,38],"based":[25,70],"on":[26,71,134],"Generative":[27],"Adversarial":[28],"Networks(GAN).":[29],"This":[30],"paper":[31],"solves":[32],"the":[33,49,84,95,98,106,111,115,124],"imbalance":[34],"problem":[35,85],"multidimensional":[37],"data":[39,79,120],"such":[40],"as":[41],"logs,":[42],"traffic,":[43],"programs,":[44],"feature":[46],"spaces":[47],"in":[48,90],"field":[50],"cyberspace":[52],"security":[53,67],"by":[54],"generating":[55],"confrontation":[56,63],"networks.":[57],"carried":[59],"out":[60],"large-scale":[62],"generation":[64],"experiment":[65],"event":[68],"SeqGAN":[72],"generated":[74],"corresponding":[75],"log":[76],"text":[77],"enhancement,":[80],"which":[81],"effectively":[82],"solve":[83],"few-shot.":[87],"The":[88],"results":[89],"this":[91],"section":[92],"show":[93],"that":[94],"use":[96],"AC-GAN":[99],"augmentation":[100],"dataset":[101,109,117],"enhanced":[103],"compared":[104],"to":[105,122,141],"original":[107],"non-equilibrium":[108],"using":[110],"artificial":[112],"synthesis":[113],"SMOTE":[116],"Network":[118],"traffic":[119],"set":[121],"improve":[123],"performance":[125],"supervised":[127],"learning":[128],"classification.":[129],"It":[130],"has":[131],"inestimable":[132],"effects":[133],"threat":[135],"detection,":[136],"various":[137],"types":[138],"offensive":[140],"defensive,":[142],"cryptography":[144],"algorithms.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
