{"id":"https://openalex.org/W3118774794","doi":"https://doi.org/10.1109/comnet47917.2020.9306073","title":"A Deep Learning Approach Combining Autoencoder with One-class SVM for DDoS Attack Detection in SDNs","display_name":"A Deep Learning Approach Combining Autoencoder with One-class SVM for DDoS Attack Detection in SDNs","publication_year":2020,"publication_date":"2020-10-27","ids":{"openalex":"https://openalex.org/W3118774794","doi":"https://doi.org/10.1109/comnet47917.2020.9306073","mag":"3118774794"},"language":"en","primary_location":{"id":"doi:10.1109/comnet47917.2020.9306073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comnet47917.2020.9306073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Eighth International Conference on Communications and Networking (ComNet)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038175535","display_name":"Lotfi Mhamdi","orcid":"https://orcid.org/0009-0000-6492-2088"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lotfi Mhamdi","raw_affiliation_strings":["University of Leeds, United Kingdom, Great Britain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds, United Kingdom, Great Britain","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084710654","display_name":"Des McLernon","orcid":"https://orcid.org/0000-0001-8278-6171"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Desmond McLernon","raw_affiliation_strings":["University of Leeds, United Kingdom, Great Britain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds, United Kingdom, Great Britain","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056586996","display_name":"Fadi El-Moussa","orcid":null},"institutions":[{"id":"https://openalex.org/I14689143","display_name":"BT Research","ror":"https://ror.org/03308db07","country_code":"GB","type":"facility","lineage":["https://openalex.org/I1332878012","https://openalex.org/I14689143"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fadi El-moussa","raw_affiliation_strings":["BT security research, United Kingdom, Great Britain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BT security research, United Kingdom, Great Britain","institution_ids":["https://openalex.org/I14689143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903629","display_name":"Syed Ali Raza Zaidi","orcid":"https://orcid.org/0000-0003-1969-3727"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Ali Raza Zaidi","raw_affiliation_strings":["University of Leeds, United Kingdom, Great Britain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds, United Kingdom, Great Britain","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057324156","display_name":"Mounir Ghogho","orcid":"https://orcid.org/0000-0002-0055-7867"},"institutions":[{"id":"https://openalex.org/I4210106663","display_name":"International University of Rabat","ror":"https://ror.org/01t9czq80","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210106663"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mounir Ghogho","raw_affiliation_strings":["International University of Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International University of Rabat, Morocco","institution_ids":["https://openalex.org/I4210106663"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002383822","display_name":"Tuan Anh Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tuan Tang","raw_affiliation_strings":["University of Leeds, United Kingdom, Great Britain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds, United Kingdom, Great Britain","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998000264167786,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8491569757461548},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.8116533756256104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7957954406738281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6985443830490112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6685250997543335},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6631488800048828},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5713938474655151},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44333988428115845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42687588930130005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40352463722229004},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1702803075313568}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8491569757461548},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.8116533756256104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957954406738281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6985443830490112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6685250997543335},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6631488800048828},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5713938474655151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44333988428115845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42687588930130005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40352463722229004},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1702803075313568},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/comnet47917.2020.9306073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comnet47917.2020.9306073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Eighth International Conference on Communications and Networking (ComNet)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:157807","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1577498723","https://openalex.org/W1975415766","https://openalex.org/W2105497548","https://openalex.org/W2163375756","https://openalex.org/W2168917894","https://openalex.org/W2560162835","https://openalex.org/W2567496709","https://openalex.org/W2736937187","https://openalex.org/W2762776925","https://openalex.org/W2783741806","https://openalex.org/W2789828921","https://openalex.org/W2798785803","https://openalex.org/W2867534720","https://openalex.org/W2883098359","https://openalex.org/W2887731362","https://openalex.org/W2890235427","https://openalex.org/W2900293028","https://openalex.org/W3098576337","https://openalex.org/W3106312933","https://openalex.org/W6684764302"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W2387580700","https://openalex.org/W2746581472","https://openalex.org/W60934498","https://openalex.org/W2899285606"],"abstract_inverted_index":{"Software":[0],"Defined":[1],"Networking":[2],"(SDN)":[3],"provides":[4],"us":[5],"with":[6,88,137,168],"the":[7,21,49,104,126,151,163],"capability":[8],"of":[9,23,48,116,134,141],"collecting":[10],"network":[11],"traffic":[12],"information":[13],"and":[14,26,64,74,90,107,170,173],"managing":[15],"networks":[16],"proactively.":[17],"Therefore,":[18],"SDN":[19,44],"facilitates":[20],"promotion":[22],"more":[24],"robust":[25],"secure":[27,43],"networks.":[28,45],"Recently,":[29],"several":[30],"Machine":[31,111],"Learning":[32,34],"(ML)/Deep":[33],"(DL)":[35],"intrusion":[36,52],"detection":[37,53,159,177],"approaches":[38,54,84],"have":[39],"been":[40],"proposed":[41,50,127],"to":[42,79],"Currently,":[46],"most":[47],"ML/DL":[51],"are":[55],"based":[56],"on":[57],"supervised":[58],"learning":[59],"approach":[60,102],"that":[61,125,147],"required":[62],"labelled":[63],"well-balanced":[65],"datasets":[66,172],"for":[67,113],"training.":[68],"However,":[69],"this":[70,94],"is":[71],"time":[72,153],"intensive":[73],"require":[75],"significant":[76],"human":[77],"expertise":[78],"curate":[80],"these":[81],"datasets.":[82,92],"These":[83],"cannot":[85],"deal":[86],"well":[87,167],"imbalanced":[89,169],"unlabeled":[91,171],"In":[93,161],"paper,":[95],"we":[96],"propose":[97],"a":[98,138,157,175],"hybrid":[99],"unsupervised":[100],"DL":[101],"using":[103],"stack":[105],"autoencoder":[106],"One-class":[108],"Support":[109],"Vector":[110],"(SAE-1SVM)":[112],"Distributed":[114],"Denial":[115],"Service":[117],"(DDoS)":[118],"attack":[119],"detection.":[120],"The":[121,144],"experimental":[122],"results":[123],"show":[124],"algorithm":[128],"can":[129,149,165],"achieve":[130],"an":[131],"average":[132],"accuracy":[133],"99.35":[135],"%":[136],"small":[139],"set":[140],"flow":[142],"features.":[143],"SAE-1SVM":[145,164],"shows":[146],"it":[148],"reduce":[150],"processing":[152],"significantly":[154],"while":[155],"maintaining":[156],"high":[158,176],"rate.":[160],"summary,":[162],"work":[166],"yield":[174],"accuracy.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
