{"id":"https://openalex.org/W2874136421","doi":"https://doi.org/10.1109/siu.2018.8404689","title":"Computer network intrusion detection using sequential LSTM Neural Networks autoencoders","display_name":"Computer network intrusion detection using sequential LSTM Neural Networks autoencoders","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2874136421","doi":"https://doi.org/10.1109/siu.2018.8404689","mag":"2874136421"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","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/A5102875673","display_name":"Ali H. Mirza","orcid":"https://orcid.org/0000-0003-0955-4352"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ali H. Mirza","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015773465","display_name":"Selin Co\u015fan","orcid":null},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Selin Cosan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102875673"],"corresponding_institution_ids":["https://openalex.org/I168864056"],"apc_list":null,"apc_paid":null,"fwci":11.5298,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.98661599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991000294685364,"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/autoencoder","display_name":"Autoencoder","score":0.8438413143157959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8413904905319214},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6939612627029419},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6309412121772766},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6175538301467896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592467188835144},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5644213557243347},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5588805079460144},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5065885782241821},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46309876441955566},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4143824577331543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.375720351934433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37526392936706543}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8438413143157959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413904905319214},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6939612627029419},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6309412121772766},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6175538301467896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592467188835144},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5644213557243347},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5588805079460144},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5065885782241821},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46309876441955566},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4143824577331543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.375720351934433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37526392936706543},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2018.8404689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/50234","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/50234","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"26th IEEE Signal Processing and Communications Applications Conference, SIU 2018","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W273955616","https://openalex.org/W1522301498","https://openalex.org/W1536666447","https://openalex.org/W1556024794","https://openalex.org/W1689711448","https://openalex.org/W1933340426","https://openalex.org/W2000832852","https://openalex.org/W2007087405","https://openalex.org/W2031163547","https://openalex.org/W2039133703","https://openalex.org/W2046079134","https://openalex.org/W2095345875","https://openalex.org/W2109926133","https://openalex.org/W2109943925","https://openalex.org/W2116435618","https://openalex.org/W2127979711","https://openalex.org/W2131970275","https://openalex.org/W2150398577","https://openalex.org/W2150847526","https://openalex.org/W2287408518","https://openalex.org/W2322112093","https://openalex.org/W2483945477","https://openalex.org/W2565516711","https://openalex.org/W2964121744","https://openalex.org/W3003807236","https://openalex.org/W3005542031","https://openalex.org/W3214373139","https://openalex.org/W6610017368","https://openalex.org/W6631190155","https://openalex.org/W6633310491","https://openalex.org/W6640284076","https://openalex.org/W6676464397","https://openalex.org/W6677326919","https://openalex.org/W6682324481","https://openalex.org/W6696151112","https://openalex.org/W6803782233"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4310873165","https://openalex.org/W2355395139","https://openalex.org/W2002563186"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,43,124],"introduce":[4],"a":[5,60,119],"sequential":[6,51,129],"autoencoder":[7,33],"framework":[8,34,83,132],"using":[9],"long":[10],"short":[11],"term":[12],"memory":[13],"(LSTM)":[14],"neural":[15],"network":[16,19,56,73,101],"for":[17,97],"computer":[18,55],"intrusion":[20,130],"detection.":[21],"We":[22,58,103],"exploit":[23],"the":[24,32,39,45,50,54,71,81,107,111],"dimensionality":[25],"reduction":[26],"and":[27,89,94,99,115,135,139],"feature":[28],"extraction":[29],"property":[30],"of":[31,53,110,122],"to":[35,48,68],"efficiently":[36,96],"carry":[37],"out":[38],"reconstruction":[40],"process.":[41],"Furthermore,":[42],"use":[44,106],"LSTM":[46],"networks":[47],"handle":[49],"nature":[52],"data.":[57],"assign":[59],"threshold":[61],"value":[62],"based":[63],"on":[64,86],"cross-validation":[65],"in":[66],"order":[67],"classify":[69],"whether":[70],"incoming":[72],"data":[74,92],"sequence":[75,93],"is":[76,136],"anomalous":[77],"or":[78],"not.":[79],"Moreover,":[80],"proposed":[82,128],"can":[84],"work":[85],"both":[87],"fixed":[88],"variable":[90],"length":[91],"works":[95],"unforeseen":[98],"unpredictable":[100],"attacks.":[102],"then":[104],"also":[105],"unsupervised":[108],"version":[109],"LSTM,":[112],"GRU,":[113],"Bi-LSTM":[114],"Neural":[116],"Networks.":[117],"Through":[118],"comprehensive":[120],"set":[121],"experiments,":[123],"demonstrate":[125],"that":[126],"our":[127],"detection":[131],"performs":[133],"well":[134],"dynamic,":[137],"robust":[138],"scalable.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
