{"id":"https://openalex.org/W2902977372","doi":"https://doi.org/10.1109/access.2018.2883142","title":"Building a Cloud IDS Using an Efficient Feature Selection Method and SVM","display_name":"Building a Cloud IDS Using an Efficient Feature Selection Method and SVM","publication_year":2018,"publication_date":"2018-12-03","ids":{"openalex":"https://openalex.org/W2902977372","doi":"https://doi.org/10.1109/access.2018.2883142","mag":"2902977372"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2883142","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883142","pdf_url":null,"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://doi.org/10.1109/access.2018.2883142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100392596","display_name":"Wenjuan Wang","orcid":"https://orcid.org/0000-0002-6849-1040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjuan Wang","raw_affiliation_strings":["Zhengzhou Information Science and Technology Institute, Zhengzhou, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-6849-1040","affiliations":[{"raw_affiliation_string":"Zhengzhou Information Science and Technology Institute, Zhengzhou, China","institution_ids":[]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697401","display_name":"Xuehui Du","orcid":"https://orcid.org/0000-0002-4923-900X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuehui Du","raw_affiliation_strings":["Zhengzhou Information Science and Technology Institute, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Information Science and Technology Institute, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461447","display_name":"Na Wang","orcid":"https://orcid.org/0000-0003-2916-4087"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Na Wang","raw_affiliation_strings":["Zhengzhou Information Science and Technology Institute, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Information Science and Technology Institute, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":6.4446,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.96946612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"1345","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9969000220298767,"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":0.9969000220298767,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9861000180244446,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7917542457580566},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7750489711761475},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7169836163520813},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.690516471862793},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4902392029762268},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4745531678199768},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44657155871391296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4458233416080475},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.43108218908309937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40828919410705566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35292428731918335},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07154181599617004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7917542457580566},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7750489711761475},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7169836163520813},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.690516471862793},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4902392029762268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4745531678199768},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44657155871391296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4458233416080475},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.43108218908309937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40828919410705566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35292428731918335},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07154181599617004}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2883142","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883142","pdf_url":null,"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:doaj.org/article:72f0fc2322344635a1a57e7bde163199","is_oa":true,"landing_page_url":"https://doaj.org/article/72f0fc2322344635a1a57e7bde163199","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 1345-1354 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2883142","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883142","pdf_url":null,"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":[{"display_name":"Decent work and economic growth","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2301373926","display_name":null,"funder_award_id":"61502531","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8281959575","display_name":null,"funder_award_id":"61802436","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W167115076","https://openalex.org/W175058090","https://openalex.org/W1495061682","https://openalex.org/W1586444875","https://openalex.org/W2023185832","https://openalex.org/W2031175798","https://openalex.org/W2032591599","https://openalex.org/W2063955498","https://openalex.org/W2067224170","https://openalex.org/W2099940443","https://openalex.org/W2113890143","https://openalex.org/W2125055259","https://openalex.org/W2149772057","https://openalex.org/W2153635508","https://openalex.org/W2155925556","https://openalex.org/W2156571267","https://openalex.org/W2158714988","https://openalex.org/W2172000360","https://openalex.org/W2196294819","https://openalex.org/W2210387432","https://openalex.org/W2267339884","https://openalex.org/W2275530856","https://openalex.org/W2293923001","https://openalex.org/W2346331195","https://openalex.org/W2382912726","https://openalex.org/W2432517183","https://openalex.org/W2766535720","https://openalex.org/W2807228625","https://openalex.org/W3102394524","https://openalex.org/W4236706032","https://openalex.org/W6606712637","https://openalex.org/W6629652716","https://openalex.org/W6635042280","https://openalex.org/W6658529161","https://openalex.org/W6682904970","https://openalex.org/W6683381688","https://openalex.org/W6710491683"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W2387580700","https://openalex.org/W2746581472","https://openalex.org/W60934498","https://openalex.org/W2899285606"],"abstract_inverted_index":{"Network":[0],"traffic":[1],"in":[2,52,78,141],"cloud":[3],"computing":[4],"is":[5],"characterized":[6],"by":[7,94],"a":[8],"large":[9],"volume":[10],"of":[11,20,30,101,138],"data,":[12],"with":[13,162],"potential":[14],"high":[15,18],"dimensionality":[16],"and":[17,58,62,67,123],"levels":[19],"redundancy.":[21],"\u201cBig":[22],"data\u201d":[23],"not":[24],"only":[25],"retard":[26],"the":[27,91,95,102,119,124,135,142,147],"execution":[28],"process":[29],"intrusion":[31,80,114],"detection":[32,81,115],"systems":[33],"(IDS)":[34],"but":[35],"they":[36],"can":[37,55,64],"also":[38],"lead":[39],"to":[40,88],"unsatisfactory":[41],"classification":[42],"accuracy.":[43],"The":[44,99,126],"efficient":[45],"correlation-based":[46],"feature":[47],"selection":[48],"(ECOFS)":[49],"approach":[50,107],"proposed":[51,96],"this":[53],"paper,":[54],"handle":[56],"linearly":[57],"nonlinearly":[59],"dependent":[60],"data":[61],"it":[63],"eliminate":[65],"redundant":[66],"irrelevant":[68],"features.":[69],"Its":[70],"effectiveness":[71],"has":[72,85,108,157],"been":[73,86,109],"evaluated":[74,110],"through":[75],"its":[76],"employment":[77],"an":[79],"system.":[82],"A":[83],"Libsvm-IDS":[84,104],"built":[87],"operate":[89],"using":[90,111],"features":[92],"selected":[93],"ECOFS":[97,106,132],"algorithm.":[98],"performance":[100,151],"hybrid":[103],"+":[105],"two":[112,163],"well-known":[113],"evaluation":[116,127],"datasets,":[117],"namely":[118],"KDD":[120],"Cup":[121],"99":[122],"NSL-KDD.":[125],"results":[128],"show":[129],"that":[130],"our":[131,155],"algorithm":[133,156],"selects":[134],"smallest":[136],"number":[137],"features,":[139],"resulting":[140],"lowest":[143],"computational":[144],"cost":[145],"for":[146],"Libsvm-IDS,":[148],"without":[149],"any":[150],"compromise.":[152],"In":[153],"fact,":[154],"achieved":[158],"higher":[159],"accuracy":[160],"compared":[161],"well":[164],"established":[165],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
