{"id":"https://openalex.org/W2897664178","doi":"https://doi.org/10.1109/icccn.2018.8487445","title":"Can Machine Learning Techniques Be Effectively Used in Real Networks against DDoS Attacks?","display_name":"Can Machine Learning Techniques Be Effectively Used in Real Networks against DDoS Attacks?","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897664178","doi":"https://doi.org/10.1109/icccn.2018.8487445","mag":"2897664178"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2018.8487445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2018.8487445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 27th International Conference on Computer Communication and Networks (ICCCN)","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/A5089259830","display_name":"Jarrod Bakker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164443","display_name":"Department of Internal Affairs","ror":"https://ror.org/05hp8wn67","country_code":"NZ","type":"government","lineage":["https://openalex.org/I4210164443"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Jarrod N. Bakker","raw_affiliation_strings":["Department of Internal Affairs, Thorndon, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Internal Affairs, Thorndon, Wellington, New Zealand","institution_ids":["https://openalex.org/I4210164443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090048437","display_name":"Bryan Ng","orcid":"https://orcid.org/0000-0001-5180-8331"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bryan Ng","raw_affiliation_strings":["School of Engineering & Computer Science, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering & Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036767777","display_name":"Winston K.G. Seah","orcid":"https://orcid.org/0000-0001-7147-5167"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Winston K. G. Seah","raw_affiliation_strings":["School of Engineering & Computer Science, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering & Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089259830"],"corresponding_institution_ids":["https://openalex.org/I4210164443"],"apc_list":null,"apc_paid":null,"fwci":1.5607,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.85405397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"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":0.9998999834060669,"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":0.9998000264167786,"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/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.9396966695785522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8258030414581299},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8236593008041382},{"id":"https://openalex.org/keywords/trinoo","display_name":"Trinoo","score":0.578460693359375},{"id":"https://openalex.org/keywords/software-defined-networking","display_name":"Software-defined networking","score":0.5778578519821167},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5677222013473511},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5548949241638184},{"id":"https://openalex.org/keywords/application-layer-ddos-attack","display_name":"Application layer DDoS attack","score":0.530383288860321},{"id":"https://openalex.org/keywords/botnet","display_name":"Botnet","score":0.5201866626739502},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4462515115737915},{"id":"https://openalex.org/keywords/network-management","display_name":"Network management","score":0.43486908078193665},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1170879602432251}],"concepts":[{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.9396966695785522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258030414581299},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8236593008041382},{"id":"https://openalex.org/C43639116","wikidata":"https://www.wikidata.org/wiki/Q7843050","display_name":"Trinoo","level":5,"score":0.578460693359375},{"id":"https://openalex.org/C77270119","wikidata":"https://www.wikidata.org/wiki/Q1655198","display_name":"Software-defined networking","level":2,"score":0.5778578519821167},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5677222013473511},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5548949241638184},{"id":"https://openalex.org/C120865594","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Application layer DDoS attack","level":4,"score":0.530383288860321},{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.5201866626739502},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4462515115737915},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.43486908078193665},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1170879602432251}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2018.8487445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2018.8487445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 27th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1549477237","https://openalex.org/W1583113493","https://openalex.org/W1664695950","https://openalex.org/W1851843436","https://openalex.org/W1896198681","https://openalex.org/W1974799041","https://openalex.org/W2017524370","https://openalex.org/W2031163547","https://openalex.org/W2074789364","https://openalex.org/W2104692292","https://openalex.org/W2142334564","https://openalex.org/W2161251616","https://openalex.org/W2163375756","https://openalex.org/W2183397118","https://openalex.org/W2514173981","https://openalex.org/W2605741723","https://openalex.org/W2612956469","https://openalex.org/W2763049519","https://openalex.org/W2777186602","https://openalex.org/W2911964244","https://openalex.org/W3099219106","https://openalex.org/W4236854226","https://openalex.org/W4253773265","https://openalex.org/W6735959993"],"related_works":["https://openalex.org/W2783466926","https://openalex.org/W2001331025","https://openalex.org/W4286539397","https://openalex.org/W2204131204","https://openalex.org/W2292210693","https://openalex.org/W2887235364","https://openalex.org/W2063104870","https://openalex.org/W3132742126","https://openalex.org/W2097156747","https://openalex.org/W2942864670"],"abstract_inverted_index":{"The":[0],"threat":[1],"of":[2,5,15,18,45],"distributed":[3],"denial":[4],"service":[6],"(DDoS)":[7],"attacks":[8,24,144,163],"has":[9],"worsened":[10],"recently":[11],"with":[12],"the":[13,43],"proliferation":[14],"unsecured":[16],"Internet":[17],"Things":[19],"(IoT)":[20],"devices.":[21],"Detecting":[22],"these":[23,153],"is":[25,111,137],"often":[26],"difficult":[27],"when":[28,157],"using":[29,46,158],"a":[30,59,91,100],"traditional":[31],"networking":[32],"paradigm":[33,61],"as":[34],"network":[35,66,70,93,133,166],"information":[36,71],"and":[37,72,88],"control":[38],"are":[39,79],"decentralised.":[40],"We":[41,151],"study":[42],"effectiveness":[44],"machine":[47],"learning":[48],"(ML)":[49],"to":[50,64,95,117,128,160],"detect":[51,161],"DDoS":[52,101,143,162],"attacks,":[53],"facilitated":[54],"by":[55,68],"Software-Defined":[56],"Networking":[57],"(SDN),":[58],"recent":[60],"that":[62,115,145,155],"aims":[63],"improve":[65],"management":[67],"centralising":[69],"control.":[73],"In":[74],"this":[75],"study,":[76],"ML":[77,159],"algorithms":[78],"implemented":[80],"on":[81,90],"nmeta2,":[82],"an":[83],"SDN-based":[84],"traffic":[85,120],"classification":[86,149],"architecture,":[87],"evaluated":[89],"physical":[92],"testbed":[94],"demonstrate":[96],"their":[97],"efficacy":[98],"during":[99,142],"attack":[102],"scenario,":[103],"especially":[104],"in":[105,164],"accurately":[106],"classifying":[107],"non-malicious":[108,124],"traffic.":[109,134],"This":[110],"unlike":[112],"most":[113],"approaches":[114],"aim":[116],"identify/classify":[118],"malicious":[119],"but":[121],"also":[122],"misclassify":[123],"traffic,":[125],"inadvertently":[126],"leading":[127],"degraded":[129],"performance":[130],"for":[131],"legitimate":[132],"Furthermore,":[135],"there":[136],"potentially":[138],"considerable":[139],"data":[140],"loss":[141],"can":[146],"further":[147],"degrade":[148],"performance.":[150],"examine":[152],"issues":[154],"arise":[156],"live":[165],"scenarios.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}