{"id":"https://openalex.org/W4392387612","doi":"https://doi.org/10.3233/ida-230264","title":"Identifying relevant features of CSE-CIC-IDS2018 dataset for the development of an intrusion detection system","display_name":"Identifying relevant features of CSE-CIC-IDS2018 dataset for the development of an intrusion detection system","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4392387612","doi":"https://doi.org/10.3233/ida-230264"},"language":"en","primary_location":{"id":"doi:10.3233/ida-230264","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-230264","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5043638773","display_name":"L\u00e1szl\u00f3 G\u00f6cs","orcid":"https://orcid.org/0000-0002-8873-6631"},"institutions":[{"id":"https://openalex.org/I4210142209","display_name":"John von Neumann University","ror":"https://ror.org/03n9qzd79","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210142209"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"L\u00e1szl\u00f3 G\u00f6cs","raw_affiliation_strings":["Department of Information Technology, John von Neumann University, GAMF Faculty of Engineering and Computer Science, Kecskem\u00e9t, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, John von Neumann University, GAMF Faculty of Engineering and Computer Science, Kecskem\u00e9t, Hungary","institution_ids":["https://openalex.org/I4210142209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007603867","display_name":"Zsolt Csaba Johany\u00e1k","orcid":"https://orcid.org/0000-0001-9285-9178"},"institutions":[{"id":"https://openalex.org/I4210142209","display_name":"John von Neumann University","ror":"https://ror.org/03n9qzd79","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210142209"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zsolt Csaba Johany\u00e1k","raw_affiliation_strings":["Department of Information Technology, John von Neumann University, GAMF Faculty of Engineering and Computer Science, Kecskem\u00e9t, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, John von Neumann University, GAMF Faculty of Engineering and Computer Science, Kecskem\u00e9t, Hungary","institution_ids":["https://openalex.org/I4210142209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043638773"],"corresponding_institution_ids":["https://openalex.org/I4210142209"],"apc_list":null,"apc_paid":null,"fwci":6.3951,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96853055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"28","issue":"6","first_page":"1527","last_page":"1553"},"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":0.9941999912261963,"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":0.9937999844551086,"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-system","display_name":"Intrusion detection system","score":0.6219686269760132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49973511695861816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3319637179374695}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6219686269760132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49973511695861816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3319637179374695}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-230264","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-230264","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1181109550","https://openalex.org/W1981883771","https://openalex.org/W2061861081","https://openalex.org/W2103333826","https://openalex.org/W2151882143","https://openalex.org/W2153896900","https://openalex.org/W2250670532","https://openalex.org/W2293600471","https://openalex.org/W2296509296","https://openalex.org/W2326324325","https://openalex.org/W2334853001","https://openalex.org/W2342249984","https://openalex.org/W2401501243","https://openalex.org/W2466023328","https://openalex.org/W2512272949","https://openalex.org/W2521944441","https://openalex.org/W2550289304","https://openalex.org/W2591712613","https://openalex.org/W2732560875","https://openalex.org/W2766121558","https://openalex.org/W2770942607","https://openalex.org/W2775849634","https://openalex.org/W2789828921","https://openalex.org/W2804239134","https://openalex.org/W2807228625","https://openalex.org/W2899464318","https://openalex.org/W2908769521","https://openalex.org/W2911964244","https://openalex.org/W2912721080","https://openalex.org/W2916168844","https://openalex.org/W2919868916","https://openalex.org/W2936900195","https://openalex.org/W2944009257","https://openalex.org/W2964278775","https://openalex.org/W2980704078","https://openalex.org/W2997301451","https://openalex.org/W3035047407","https://openalex.org/W3043530913","https://openalex.org/W3102394524","https://openalex.org/W3115502235","https://openalex.org/W3118808706","https://openalex.org/W3120683583","https://openalex.org/W3122585250","https://openalex.org/W3130980823","https://openalex.org/W3134154544","https://openalex.org/W3139149890","https://openalex.org/W3148181069","https://openalex.org/W3197213531","https://openalex.org/W4242565112","https://openalex.org/W4293094680","https://openalex.org/W4296425464","https://openalex.org/W4297896226","https://openalex.org/W4300167448","https://openalex.org/W4322488172","https://openalex.org/W4327740859","https://openalex.org/W4327750468","https://openalex.org/W6675969814","https://openalex.org/W6703928569","https://openalex.org/W6713357761","https://openalex.org/W6719473894","https://openalex.org/W6768868334","https://openalex.org/W6772070325"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1],"systems":[2],"(IDSs)":[3],"are":[4,55],"essential":[5],"elements":[6],"of":[7,22,39,48,52,70,73,93,119,132],"IT":[8],"systems.":[9],"Their":[10],"key":[11],"component":[12],"is":[13,32,65],"a":[14,49],"classification":[15,150],"module":[16],"that":[17,54],"continuously":[18],"evaluates":[19],"some":[20],"features":[21,41,53,121,134],"the":[23,36,40,46,68,71,79,91,94,106,116,120,133,154,163],"network":[24],"traffic":[25,61,64],"and":[26,81,115,143],"identifies":[27],"possible":[28],"threats.":[29],"Its":[30],"efficiency":[31],"greatly":[33],"affected":[34],"by":[35],"right":[37],"selection":[38,83,111],"to":[42,57,152],"be":[43],"monitored.":[44],"Therefore,":[45],"identification":[47],"minimal":[50],"set":[51,157],"necessary":[56],"safely":[58],"distinguish":[59],"malicious":[60],"from":[62],"benign":[63],"indispensable":[66],"in":[67,90],"course":[69],"development":[72],"an":[74],"IDS.":[75],"This":[76],"paper":[77],"presents":[78],"preprocessing":[80],"feature":[82,110,156],"workflow":[84],"as":[85,87],"well":[86],"its":[88],"results":[89],"case":[92],"CSE-CIC-IDS2018":[95],"on":[96,100,125,138],"AWS":[97],"dataset,":[98],"focusing":[99],"five":[101,149],"attack":[102,160],"types.":[103],"To":[104],"identify":[105],"relevant":[107],"features,":[108],"six":[109],"methods":[112],"were":[113,135,169],"applied,":[114],"final":[117],"ranking":[118,140],"was":[122,146],"elaborated":[123],"based":[124,137],"their":[126],"average":[127],"score.":[128],"Next,":[129],"several":[130],"subsets":[131],"formed":[136],"different":[139],"threshold":[141],"values,":[142],"each":[144,159],"subset":[145],"tried":[147],"with":[148],"algorithms":[151],"determine":[153],"optimal":[155],"for":[158],"type.":[161],"During":[162],"evaluation,":[164],"four":[165],"widely":[166],"used":[167],"metrics":[168],"taken":[170],"into":[171],"consideration.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-10-10T00:00:00"}