{"id":"https://openalex.org/W7217475286","doi":null,"title":"Intrusion Detection System Using Recurrent Neural Network-Long Short-Term Memory","display_name":"Intrusion Detection System Using Recurrent Neural Network-Long Short-Term Memory","publication_year":2023,"publication_date":"2023-04-16","ids":{"openalex":"https://openalex.org/W7217475286"},"language":"en","primary_location":{"id":"pmh:oai:www.ijisae.org:article/2817","doi":null,"is_oa":true,"landing_page_url":"https://ijisae.org/index.php/IJISAE/article/view/2817","pdf_url":"https://ijisae.org/index.php/IJISAE/article/download/2817/1395","source":{"id":"https://openalex.org/S2764360368","display_name":"International Journal of Intelligent Systems and Applications in Engineering","issn_l":"2147-6799","issn":["2147-6799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2147-6799","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijisae.org/index.php/IJISAE/article/download/2817/1395","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025926384","display_name":"Kishor P. Jadhav","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kishor P. Jadhav","raw_affiliation_strings":["Ph.D. Research Scholar, Department of Computer Science and Engineering, Bhabha University, Bhopal, Madhya Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ph.D. Research Scholar, Department of Computer Science and Engineering, Bhabha University, Bhopal, Madhya Pradesh, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035710393","display_name":"Tripti Arjariya","orcid":"https://orcid.org/0009-0007-2736-8840","observed_orcids":["https://orcid.org/0009-0007-2736-8840"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tripti Arjariya","raw_affiliation_strings":["Head, Department of Computer Science and Engineering, Bhabha University, Bhopal, Madhya Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Head, Department of Computer Science and Engineering, Bhabha University, Bhopal, Madhya Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008941697","display_name":"Mohit Gangwar","orcid":"https://orcid.org/0000-0001-5654-2317","observed_orcids":["https://orcid.org/0000-0001-5654-2317"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohit Gangwar","raw_affiliation_strings":["Director (Alumni Cell), B. N. College of Engineering and Technology, Lucknow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Director (Alumni Cell), B. N. College of Engineering and Technology, Lucknow","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32426617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9990000128746033,"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":0.9990000128746033,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":9.999999747378752e-05,"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/intrusion-detection","display_name":"intrusion detection","score":0.8460000157356262},{"id":"https://openalex.org/keywords/cyberattack-classification","display_name":"cyberattack classification","score":0.8059999942779541},{"id":"https://openalex.org/keywords/lstm-rnn","display_name":"LSTM-RNN","score":0.8659999966621399},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.8220000267028809},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.7919999957084656},{"id":"https://openalex.org/keywords/kdd99-dataset","display_name":"KDD Cup 1999 dataset","score":0.8859999775886536},{"id":"https://openalex.org/keywords/network-security","display_name":"network security","score":0.6970000267028809},{"id":"https://openalex.org/keywords/malware-dataset","display_name":"malware dataset","score":0.7409999966621399},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.652999997138977},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"multi-class classification","score":0.8560000061988831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8945000171661377},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7930999994277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6747999787330627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6466000080108643},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5385000109672546},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5049999952316284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45159998536109924},{"id":"https://openalex.org/C126831891","wikidata":"https://www.wikidata.org/wiki/Q221673","display_name":"Host (biology)","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4196000099182129},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3910999894142151},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3659000098705292},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.36500000953674316},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.34360000491142273},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:www.ijisae.org:article/2817","doi":null,"is_oa":true,"landing_page_url":"https://ijisae.org/index.php/IJISAE/article/view/2817","pdf_url":"https://ijisae.org/index.php/IJISAE/article/download/2817/1395","source":{"id":"https://openalex.org/S2764360368","display_name":"International Journal of Intelligent Systems and Applications in Engineering","issn_l":"2147-6799","issn":["2147-6799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2147-6799","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:www.ijisae.org:article/2817","doi":null,"is_oa":true,"landing_page_url":"https://ijisae.org/index.php/IJISAE/article/view/2817","pdf_url":"https://ijisae.org/index.php/IJISAE/article/download/2817/1395","source":{"id":"https://openalex.org/S2764360368","display_name":"International Journal of Intelligent Systems and Applications in Engineering","issn_l":"2147-6799","issn":["2147-6799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2147-6799","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7217475286.pdf","grobid_xml":"https://content.openalex.org/works/W7217475286.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W4214735369","https://openalex.org/W4223889722","https://openalex.org/W4225105918","https://openalex.org/W4281554479","https://openalex.org/W4281623902","https://openalex.org/W4282839500","https://openalex.org/W4285059185","https://openalex.org/W4285106051","https://openalex.org/W4285294415","https://openalex.org/W4285609068","https://openalex.org/W4285820203","https://openalex.org/W4288754362","https://openalex.org/W4289655532","https://openalex.org/W4290998444","https://openalex.org/W4292261289","https://openalex.org/W4295788744","https://openalex.org/W4308427191","https://openalex.org/W4309224799","https://openalex.org/W4309375067","https://openalex.org/W4311415244","https://openalex.org/W4312570783","https://openalex.org/W4312913335","https://openalex.org/W4313270120","https://openalex.org/W4320025713"],"related_works":["https://openalex.org/W4402981505","https://openalex.org/W3187905760","https://openalex.org/W2335999708","https://openalex.org/W2088476668","https://openalex.org/W3022802582","https://openalex.org/W2907351873","https://openalex.org/W3168563142","https://openalex.org/W4386920123","https://openalex.org/W4307944984","https://openalex.org/W4243811105"],"abstract_inverted_index":{"To":[0],"build":[1],"an":[2],"Intrusion":[3],"Detection":[4],"System":[5],"(IDS)":[6],"for":[7,82],"identifying":[8,185],"and":[9,15,22,47,142,150,153,160,193,203,251,277,283,297],"categorising":[10],"cyber-attacks":[11,155],"in":[12,50,85,132,184],"a":[13,59,73,98,140,196,241],"prompt":[14],"autonomous":[16],"manner":[17],"both":[18],"on":[19,109,272],"the":[20,23,34,39,86,102,136,157,174,179,191,221,230,238,266],"network":[21],"host":[24],"level,":[25],"machine":[26,106,206,294],"learning":[27,107,121,207,295],"approaches":[28],"are":[29,44,113],"being":[30],"utilized":[31],"extensively.":[32],"On":[33],"other":[35,204,292],"hand,":[36],"due":[37],"to":[38,57,72,172,181,228,291],"fact":[40],"that":[41,61,78,92,112,147,177,233,265],"malicious":[42],"attacks":[43],"always":[45],"evolving":[46],"taking":[48],"place":[49],"extremely":[51],"high":[52],"volumes,":[53],"it":[54,170,259],"is":[55,93,130,210,226,260,275,287],"necessary":[56],"develop":[58,229],"solution":[60],"can":[62,79,148],"be":[63,80],"scaled":[64],"up.":[65],"The":[66,162,212],"cyber":[67,187],"security":[68],"community":[69],"has":[70,96,178,256],"access":[71],"variety":[74],"of":[75,101,104,118,138,164,167,199,220,244,268],"malware":[76],"datasets":[77,111,158],"used":[81,227],"further":[83],"research":[84],"public":[87],"domain.":[88],"Furthermore,":[89],"no":[90],"study":[91,168],"currently":[94],"accessible":[95],"given":[97],"complete":[99],"evaluation":[100],"effectiveness":[103],"different":[105,110],"techniques":[108],"publicly":[114],"available.":[115],"A":[116],"form":[117],"hybrid":[119],"deep":[120],"model,":[122],"Recurrent":[123],"Neural":[124],"Network-Long":[125],"Short":[126],"Term":[127],"Memory":[128],"(RNN-LSTM)":[129],"investigated":[131],"this":[133,165],"paper":[134],"with":[135],"goal":[137],"developing":[139],"flexible":[141],"effective":[143],"intrusion":[144,222],"detection":[145,223],"system":[146,224],"detect":[149],"classify":[151],"unanticipated":[152],"unforeseen":[154],"using":[156,190,249,279],"KDDCup99":[159],"NSLKDD.":[161],"results":[163],"type":[166],"make":[169],"easier":[171],"select":[173],"optimal":[175],"algorithm":[176],"potential":[180],"effectively":[182],"work":[183],"future":[186],"attacks.":[188],"By":[189],"KDDCup":[192],"NSLKDD":[194,284],"datasets,":[195],"thorough":[197],"analysis":[198],"experiments":[200,248,264],"evaluating":[201],"RNN-LSTM":[202,231,269],"traditional":[205],"classification":[208,254,274,299],"models":[209],"shown.":[211],"abstract":[213],"as":[214,216,289],"well":[215],"high-dimensional":[217],"feature":[218],"representation":[219],"data":[225],"model":[232],"was":[234],"developed":[235],"by":[236],"feeding":[237],"features":[239],"into":[240],"large":[242],"number":[243],"hidden":[245],"layers.":[246],"Two":[247],"binary":[250,273],"5-":[252],"group":[253],"method":[255,270],"been":[257],"performed,":[258],"observed":[261],"from":[262],"these":[263],"performance":[267],"based":[271],"83.29%":[276],"68.59%":[278],"KDD":[280],"Cup":[281],"99":[282],"dataset":[285],"which":[286],"better":[288],"compared":[290],"conventional":[293],"classifier":[296],"5-group":[298],"method.":[300]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-03T00:00:00"}