{"id":"https://openalex.org/W2926701059","doi":"https://doi.org/10.1109/access.2019.2895334","title":"Deep Learning Approach for Intelligent Intrusion Detection System","display_name":"Deep Learning Approach for Intelligent Intrusion Detection System","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2926701059","doi":"https://doi.org/10.1109/access.2019.2895334","mag":"2926701059"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2895334","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2895334","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681044.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":null,"license_id":null,"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/ielx7/6287639/8600701/08681044.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112825787","display_name":"R. Vinayakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Vinayakumar","raw_affiliation_strings":["Center for Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":"https://orcid.org/0000-0001-6873-6469","affiliations":[{"raw_affiliation_string":"Center for Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409592","display_name":"Mamoun Alazab","orcid":"https://orcid.org/0000-0002-1928-3704"},"institutions":[{"id":"https://openalex.org/I29894533","display_name":"Charles Darwin University","ror":"https://ror.org/048zcaj52","country_code":"AU","type":"education","lineage":["https://openalex.org/I29894533"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mamoun Alazab","raw_affiliation_strings":["College of Engineering, IT & Environment, Charles Darwin University, Casuarina, NT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, IT & Environment, Charles Darwin University, Casuarina, NT, Australia","institution_ids":["https://openalex.org/I29894533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113113768","display_name":"K. P. Soman","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. P. Soman","raw_affiliation_strings":["Center for Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029900047","display_name":"Prabaharan Poornachandran","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabaharan Poornachandran","raw_affiliation_strings":["Centre for Cyber Security Systems and Networks, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Cyber Security Systems and Networks, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108774092","display_name":"Ameer Al-Nemrat","orcid":null},"institutions":[{"id":"https://openalex.org/I157227730","display_name":"University of East London","ror":"https://ror.org/057jrqr44","country_code":"GB","type":"education","lineage":["https://openalex.org/I157227730"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ameer Al-Nemrat","raw_affiliation_strings":["School of Architecture, Computing, and Engineering, University of East London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture, Computing, and Engineering, University of East London, London, U.K","institution_ids":["https://openalex.org/I157227730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072259792","display_name":"Sitalakshmi Venkatraman","orcid":"https://orcid.org/0000-0002-2772-133X"},"institutions":[{"id":"https://openalex.org/I4403386716","display_name":"Melbourne Polytechnic","ror":"https://ror.org/04cq7wg91","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386716"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sitalakshmi Venkatraman","raw_affiliation_strings":["Department of IT, Melbourne Polytechnic, Prahran Campus, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, Melbourne Polytechnic, Prahran Campus, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I4403386716"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":139.4675,"has_fulltext":true,"cited_by_count":1785,"citation_normalized_percentile":{"value":0.99992638,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"41525","last_page":"41550"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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":0.8962855339050293},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.8181185722351074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7512686252593994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6842483282089233},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6717273592948914},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6025282740592957},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5687863826751709},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5322577357292175},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4652790427207947},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46078455448150635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40874847769737244},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11389386653900146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8962855339050293},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8181185722351074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7512686252593994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6842483282089233},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6717273592948914},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6025282740592957},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5687863826751709},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5322577357292175},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4652790427207947},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46078455448150635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40874847769737244},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11389386653900146},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2019.2895334","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2895334","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681044.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:roar.uel.ac.uk:8125","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400937","display_name":"ROAR (University of East London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157227730","host_organization_name":"University of East London","host_organization_lineage":["https://openalex.org/I157227730"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:1c4686034712414fa19f2477dd324db5","is_oa":true,"landing_page_url":"https://doaj.org/article/1c4686034712414fa19f2477dd324db5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"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 7, Pp 41525-41550 (2019)","raw_type":"article"},{"id":"pmh:oai:repository.uel.ac.uk:843z5","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ACCESS.2019.2895334","pdf_url":null,"source":{"id":"https://openalex.org/S4306401301","display_name":"UEL Research Repository (University of East London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157227730","host_organization_name":"University of East London","host_organization_lineage":["https://openalex.org/I157227730"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2895334","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2895334","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08681044.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320331933","display_name":"Northern Territory Government","ror":"https://ror.org/01537wn74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2926701059.pdf","grobid_xml":"https://content.openalex.org/works/W2926701059.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W101596157","https://openalex.org/W248959849","https://openalex.org/W1487268095","https://openalex.org/W1516506771","https://openalex.org/W1591480890","https://openalex.org/W1665214252","https://openalex.org/W1811853421","https://openalex.org/W1836465849","https://openalex.org/W1851116156","https://openalex.org/W1866355538","https://openalex.org/W1941427975","https://openalex.org/W1988918299","https://openalex.org/W2000052253","https://openalex.org/W2002541641","https://openalex.org/W2007178635","https://openalex.org/W2008224380","https://openalex.org/W2031163547","https://openalex.org/W2034265047","https://openalex.org/W2058399474","https://openalex.org/W2070277155","https://openalex.org/W2078445324","https://openalex.org/W2085305295","https://openalex.org/W2087973052","https://openalex.org/W2095705004","https://openalex.org/W2095979141","https://openalex.org/W2099940443","https://openalex.org/W2100537916","https://openalex.org/W2121927068","https://openalex.org/W2134641333","https://openalex.org/W2150755264","https://openalex.org/W2156387975","https://openalex.org/W2167240430","https://openalex.org/W2187089797","https://openalex.org/W2262045390","https://openalex.org/W2296509296","https://openalex.org/W2324108672","https://openalex.org/W2324464293","https://openalex.org/W2335999708","https://openalex.org/W2399941526","https://openalex.org/W2468321486","https://openalex.org/W2478758920","https://openalex.org/W2544098645","https://openalex.org/W2551087083","https://openalex.org/W2584505300","https://openalex.org/W2586277768","https://openalex.org/W2597441556","https://openalex.org/W2729537186","https://openalex.org/W2762776925","https://openalex.org/W2772317693","https://openalex.org/W2774751649","https://openalex.org/W2781887747","https://openalex.org/W2789305555","https://openalex.org/W2789628275","https://openalex.org/W2789828921","https://openalex.org/W2790544619","https://openalex.org/W2792029691","https://openalex.org/W2801806803","https://openalex.org/W2802296803","https://openalex.org/W2802348331","https://openalex.org/W2803881474","https://openalex.org/W2807786182","https://openalex.org/W2885070483","https://openalex.org/W2886020981","https://openalex.org/W2902662365","https://openalex.org/W2919115771","https://openalex.org/W2962851944","https://openalex.org/W3099086397","https://openalex.org/W3105682467","https://openalex.org/W3123463689","https://openalex.org/W3123969097","https://openalex.org/W3136767761","https://openalex.org/W6604196288","https://openalex.org/W6609367496","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6652106736","https://openalex.org/W6674330103","https://openalex.org/W6682889407","https://openalex.org/W6692777677","https://openalex.org/W6703414798","https://openalex.org/W6741012983","https://openalex.org/W6748074358","https://openalex.org/W6751698863"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4318719684","https://openalex.org/W4389724018","https://openalex.org/W4318559728","https://openalex.org/W3183136280","https://openalex.org/W2775233965","https://openalex.org/W3114716045","https://openalex.org/W4360995913"],"abstract_inverted_index":{"Machine":[0],"learning":[1,81,124,201,245,318],"techniques":[2],"are":[3,38,42,53,105,162,203,221,238],"being":[4],"widely":[5],"used":[6,335],"to":[7,89,106,128,135,157,177,275,338,347],"develop":[8,129],"an":[9],"intrusion":[10],"detection":[11],"system":[12],"(IDS)":[13],"for":[14,59,219],"detecting":[15,187],"and":[16,22,28,41,110,132,137,140,149,169,197,216,272,285,326,344],"classifying":[17],"cyberattacks":[18],"at":[19],"the":[20,23,72,76,90,100,165,179,224,234,244,249,277,283,290,315,341],"network-level":[21],"host-level":[24,345],"in":[25,44,146,186,248,312,336],"a":[26,49,115,120,130,301,323],"timely":[27],"automatic":[29],"manner.":[30],"However,":[31,66],"many":[32,297],"challenges":[33],"arise":[34],"since":[35],"malicious":[36],"attacks":[37,153],"continually":[39],"changing":[40,97],"occurring":[43],"very":[45],"large":[46],"volumes":[47],"requiring":[48],"scalable":[50,325],"solution.":[51],"There":[52],"different":[54],"malware":[55,94,101,210],"datasets":[56,102,160],"available":[57,86,103,208],"publicly":[58,85,104,207],"further":[60],"research":[61],"by":[62,293],"cyber":[63],"security":[64],"community.":[65],"no":[67],"existing":[68],"study":[69,175],"has":[70],"shown":[71,204],"detailed":[73],"analysis":[74],"of":[75,78,93,122,152,174,193,195,236,289],"performance":[77],"various":[79,84,159,206],"machine":[80,200,317],"algorithms":[82],"on":[83,205,258,263],"datasets.":[87,211],"Due":[88],"dynamic":[91,170],"nature":[92],"with":[95,229,243,314],"continuously":[96],"attacking":[98],"methods,":[99],"be":[107,334],"updated":[108],"systematically":[109],"benchmarked.":[111],"In":[112],"this":[113],"paper,":[114],"deep":[116,123],"neural":[117],"network":[118,147,214,217,342],"(DNN),":[119],"type":[121,173],"model,":[125],"is":[126,261,306],"explored":[127],"flexible":[131],"effective":[133],"IDS":[134,291],"detect":[136],"classify":[138],"unforeseen":[139],"unpredictable":[141],"cyberattacks.":[142,189,351],"The":[143,212,252],"continuous":[144],"change":[145],"behavior":[148],"rapid":[150],"evolution":[151],"makes":[154],"it":[155,305],"necessary":[156],"evaluate":[158],"which":[161,182,255,332],"generated":[163],"over":[164],"years":[166],"through":[167,223],"static":[168],"approaches.":[171],"This":[172],"facilitates":[176],"identify":[178],"best":[180],"algorithm":[181],"can":[183,333],"effectively":[184,339],"work":[185],"future":[188],"A":[190],"comprehensive":[191],"evaluation":[192],"experiments":[194,235],"DNNs":[196,220,237,309,328],"other":[198,264],"classical":[199,316],"classifiers":[202],"benchmark":[209],"optimal":[213],"parameters":[215],"topologies":[218],"chosen":[222],"following":[225],"hyperparameter":[226],"selection":[227],"methods":[228],"KDDCup":[230,259],"99":[231,260],"dataset.":[232],"All":[233],"run":[239],"till":[240],"1,000":[241],"epochs":[242],"rate":[246],"varying":[247],"range":[250],"[0.01-0.5].":[251],"DNN":[253,280],"model":[254,281],"performed":[256],"well":[257,311],"applied":[262],"datasets,":[265],"such":[266],"as":[267],"NSL-KDD,":[268],"UNSW-NB15,":[269],"Kyoto,":[270],"WSN-DS,":[271],"CICIDS":[273],"2017,":[274],"conduct":[276],"benchmark.":[278],"Our":[279],"learns":[282],"abstract":[284],"high-dimensional":[286],"feature":[287],"representation":[288],"data":[292],"passing":[294],"them":[295],"into":[296],"hidden":[298],"layers.":[299],"Through":[300],"rigorous":[302],"experimental":[303],"testing,":[304],"confirmed":[307],"that":[308],"perform":[310],"comparison":[313],"classifiers.":[319],"Finally,":[320],"we":[321],"propose":[322],"highly":[324],"hybrid":[327],"framework":[329],"called":[330],"scale-hybrid-IDS-AlertNet":[331],"real-time":[337],"monitor":[340],"traffic":[343],"events":[346],"proactively":[348],"alert":[349],"possible":[350]},"counts_by_year":[{"year":2026,"cited_by_count":101},{"year":2025,"cited_by_count":301},{"year":2024,"cited_by_count":335},{"year":2023,"cited_by_count":297},{"year":2022,"cited_by_count":281},{"year":2021,"cited_by_count":269},{"year":2020,"cited_by_count":176},{"year":2019,"cited_by_count":24},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}