{"id":"https://openalex.org/W3006761813","doi":"https://doi.org/10.1109/ssci44817.2019.9003126","title":"LuNet: A Deep Neural Network for Network Intrusion Detection","display_name":"LuNet: A Deep Neural Network for Network Intrusion Detection","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3006761813","doi":"https://doi.org/10.1109/ssci44817.2019.9003126","mag":"3006761813"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9003126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5001440226","display_name":"Peilun Wu","orcid":"https://orcid.org/0000-0002-4325-0507"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peilun Wu","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023177983","display_name":"Hui Guo","orcid":"https://orcid.org/0000-0002-7874-7273"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hui Guo","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":11.7894,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.99436512,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"624"},"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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":0.8163191676139832},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6941131353378296},{"id":"https://openalex.org/keywords/sync","display_name":"sync","score":0.614842414855957},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5416394472122192},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5095729827880859},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4900008738040924},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.48839086294174194},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45473816990852356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42709192633628845},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4195968508720398},{"id":"https://openalex.org/keywords/anomaly-based-intrusion-detection-system","display_name":"Anomaly-based intrusion detection system","score":0.4191287159919739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41611504554748535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37356019020080566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33167189359664917},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2723888158798218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163191676139832},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6941131353378296},{"id":"https://openalex.org/C3913047","wikidata":"https://www.wikidata.org/wiki/Q1956265","display_name":"sync","level":3,"score":0.614842414855957},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5416394472122192},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5095729827880859},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4900008738040924},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.48839086294174194},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45473816990852356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42709192633628845},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4195968508720398},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.4191287159919739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41611504554748535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37356019020080566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33167189359664917},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2723888158798218},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9003126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1677464440","https://openalex.org/W1836465849","https://openalex.org/W1917120379","https://openalex.org/W1952056635","https://openalex.org/W1985987493","https://openalex.org/W1988918299","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2095727900","https://openalex.org/W2097117768","https://openalex.org/W2099940443","https://openalex.org/W2100537916","https://openalex.org/W2112086364","https://openalex.org/W2112796928","https://openalex.org/W2125569215","https://openalex.org/W2142889610","https://openalex.org/W2194775991","https://openalex.org/W2296509296","https://openalex.org/W2334853001","https://openalex.org/W2342249984","https://openalex.org/W2342408547","https://openalex.org/W2766315530","https://openalex.org/W2772317693","https://openalex.org/W2782749307","https://openalex.org/W2807319534","https://openalex.org/W2895859872","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2971489520","https://openalex.org/W3100989807","https://openalex.org/W3105682467","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6678500653","https://openalex.org/W6703928569"],"related_works":["https://openalex.org/W2435146791","https://openalex.org/W2742053845","https://openalex.org/W2363068348","https://openalex.org/W2183239701","https://openalex.org/W2901647851","https://openalex.org/W2368329025","https://openalex.org/W2355532322","https://openalex.org/W2061466315","https://openalex.org/W3157271777","https://openalex.org/W2345595457"],"abstract_inverted_index":{"Network":[0],"attack":[1],"is":[2,65,124],"a":[3,61,128,165,191,230,239],"significant":[4],"security":[5],"issue":[6],"for":[7,59],"modern":[8],"society.":[9],"From":[10],"small":[11],"mobile":[12],"devices":[13],"to":[14,54,84,96,219],"large":[15,62],"cloud":[16],"platforms,":[17],"almost":[18],"all":[19],"computing":[20],"products,":[21],"used":[22],"in":[23,57,92,158,188],"our":[24],"daily":[25],"life,":[26],"are":[27,104],"networked":[28],"and":[29,46,50,67,155,163,178,199],"potentially":[30],"under":[31],"the":[32,38,73,97,101,115,121,138,142,151,159,173,179,203,220],"threat":[33],"of":[34,107,110,131,141,153,202,233,243],"network":[35,40,42,64,79,112,160,176,182,213,222],"intrusion.":[36],"With":[37],"fast-growing":[39],"users,":[41],"intrusions":[43,56],"become":[44],"more":[45,47,105],"frequent,":[48],"volatile":[49],"advanced.":[51],"Being":[52],"able":[53],"capture":[55],"time":[58],"such":[60,195],"scale":[63],"critical":[66],"very":[68],"challenging.":[69],"To":[70],"this":[71,147],"end,":[72],"machine":[74],"learning":[75],"(or":[76],"AI)":[77],"based":[78],"intrusion":[80,143,223],"detection":[81,117,144,224,234],"(NID),":[82],"due":[83],"its":[85],"intelligent":[86],"capability,":[87],"has":[88,238],"drawn":[89],"increasing":[90,193],"attention":[91],"recent":[93],"years.":[94],"Compared":[95],"traditional":[98],"signature-based":[99],"approaches,":[100],"AI-based":[102],"solutions":[103],"capable":[106],"detecting":[108],"variants":[109],"advanced":[111],"attacks.":[113],"However,":[114],"high":[116,129,231],"rate":[118,130,242],"achieved":[119],"by":[120,127],"existing":[122],"designs":[123],"usually":[125],"accompanied":[126],"false":[132,244],"alarms,":[133],"which":[134],"may":[135],"significantly":[136],"discount":[137],"overall":[139],"effectiveness":[140],"system.":[145],"In":[146,171],"paper,":[148],"we":[149],"consider":[150],"existence":[152],"spatial":[154,198],"temporal":[156,200],"features":[157,201],"traffic":[161,186,214],"data":[162,187,204],"propose":[164],"hierarchical":[166],"CNN+RNN":[167],"neural":[168,175,181],"network,":[169],"LuNet.":[170],"LuNet,":[172],"convolutional":[174],"(CNN)":[177],"recurrent":[180],"(RNN)":[183],"learn":[184],"input":[185],"sync":[189],"with":[190],"gradually":[192],"granularity":[194],"that":[196,217],"both":[197],"can":[205],"be":[206],"effectively":[207],"extracted.":[208],"Our":[209],"experiments":[210],"on":[211],"two":[212],"datasets":[215],"show":[216],"compared":[218],"state-of-the-art":[221],"techniques,":[225],"LuNet":[226],"not":[227],"only":[228],"offers":[229],"level":[232],"capability":[235],"but":[236],"also":[237],"much":[240],"low":[241],"positive-alarm.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":10}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}