{"id":"https://openalex.org/W4206358489","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660491","title":"Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network","display_name":"Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W4206358489","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660491"},"language":"en","primary_location":{"id":"doi:10.1109/ic-nidc54101.2021.9660491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660491","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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/A5066585940","display_name":"Jianxue Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxue Li","raw_affiliation_strings":["School of Artificial Intelligence, BUPT, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, BUPT, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740877","display_name":"Yang Xiao","orcid":"https://orcid.org/0000-0001-6897-5531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Xiao","raw_affiliation_strings":["School of Artificial Intelligence, BUPT, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, BUPT, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087410095","display_name":"Jiawei Wu","orcid":"https://orcid.org/0000-0002-7786-8815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawei Wu","raw_affiliation_strings":["School of Artificial Intelligence, BUPT, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, BUPT, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086010917","display_name":"Jialong Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jialong Feng","raw_affiliation_strings":["School of Artificial Intelligence, BUPT, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, BUPT, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362109","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0003-4007-6109"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["School of Artificial Intelligence, BUPT, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, BUPT, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9276,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68787129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973999857902527,"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":0.9973999857902527,"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":0.993399977684021,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7799185514450073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7745240926742554},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7525652647018433},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.614834725856781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6050372123718262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5562451481819153},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.5316123962402344},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4871668517589569},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48208552598953247},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4653739631175995},{"id":"https://openalex.org/keywords/network-management","display_name":"Network management","score":0.42332369089126587},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16805630922317505},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08718112111091614}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7799185514450073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745240926742554},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7525652647018433},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.614834725856781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050372123718262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5562451481819153},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.5316123962402344},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4871668517589569},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48208552598953247},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4653739631175995},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.42332369089126587},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16805630922317505},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08718112111091614},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic-nidc54101.2021.9660491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660491","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1924770834","https://openalex.org/W2103868202","https://openalex.org/W2146502635","https://openalex.org/W2739748921","https://openalex.org/W2770807865","https://openalex.org/W2772303842","https://openalex.org/W2897256107","https://openalex.org/W2924943326","https://openalex.org/W2973581711","https://openalex.org/W2995006815","https://openalex.org/W3143075161","https://openalex.org/W4301206121","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6681435938","https://openalex.org/W6741832134","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2888032422","https://openalex.org/W4322709305","https://openalex.org/W2808862658","https://openalex.org/W4391899165","https://openalex.org/W3010213975"],"abstract_inverted_index":{"Mining":[0],"anomalies":[1],"and":[2,13,38,122],"special":[3],"events":[4],"from":[5],"massive":[6],"network":[7,21,30,55,61,78,93,115,127,149],"flows":[8,110,128],"based":[9],"on":[10,148],"machine":[11,36],"learning":[12,15,37,40,50],"deep":[14,39],"is":[16,25,68,89,139],"a":[17,47,71,86],"promising":[18],"approach":[19],"for":[20,34,60],"management.":[22],"However,":[23],"it":[24],"difficult":[26],"to":[27,75,95,112],"build":[28],"labeled":[29,77],"flow":[31,62,79,150],"data":[32],"sets":[33],"training":[35],"models.":[41],"In":[42,81],"this":[43,138],"paper,":[44],"we":[45],"propose":[46],"novel":[48],"reinforcement":[49],"(RL)":[51],"powered":[52,146],"generative":[53],"adversarial":[54],"(GAN)":[56],"model":[57,74],"named":[58],"NF-GAN":[59,67],"generation.":[63],"The":[64],"generator":[65],"of":[66,83,107,117,126,135,143],"designed":[69],"as":[70],"stochastic":[72],"policy":[73],"generate":[76],"data.":[80],"terms":[82],"the":[84,92,97,105,108,113,118,123,133,140],"discriminator,":[85],"check":[87],"reward":[88,94],"integrated":[90],"into":[91],"capture":[96],"correlations":[98],"among":[99],"attributes.":[100],"Experiment":[101],"results":[102],"demonstrate":[103],"that":[104],"majority":[106],"generated":[109],"conform":[111],"strict":[114],"protocols":[116],"standard":[119],"OSI":[120],"stack,":[121],"success":[124],"rate":[125],"generation":[129,151],"achieves":[130],"99.96%.":[131],"To":[132],"best":[134],"our":[136],"knowledge,":[137],"first":[141],"time":[142],"applying":[144],"RL":[145],"GAN":[147],"tasks.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}