{"id":"https://openalex.org/W4414097097","doi":"https://doi.org/10.3390/info16090783","title":"A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques","display_name":"A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4414097097","doi":"https://doi.org/10.3390/info16090783"},"language":"en","primary_location":{"id":"doi:10.3390/info16090783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16090783","pdf_url":"https://www.mdpi.com/2078-2489/16/9/783/pdf?version=1757493426","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/16/9/783/pdf?version=1757493426","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114749129","display_name":"Chekwube Ezechi","orcid":"https://orcid.org/0009-0005-0377-7565"},"institutions":[{"id":"https://openalex.org/I70593384","display_name":"Lead City University","ror":"https://ror.org/043z5qa52","country_code":"NG","type":"education","lineage":["https://openalex.org/I70593384"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Chekwube Ezechi","raw_affiliation_strings":["Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria"],"raw_orcid":"https://orcid.org/0009-0005-0377-7565","affiliations":[{"raw_affiliation_string":"Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria","institution_ids":["https://openalex.org/I70593384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055138487","display_name":"Mobayode O. Akinsolu","orcid":"https://orcid.org/0000-0003-1164-5501"},"institutions":[{"id":"https://openalex.org/I184856343","display_name":"Wrexham University","ror":"https://ror.org/048kc0s52","country_code":"GB","type":"education","lineage":["https://openalex.org/I184856343"]},{"id":"https://openalex.org/I70593384","display_name":"Lead City University","ror":"https://ror.org/043z5qa52","country_code":"NG","type":"education","lineage":["https://openalex.org/I70593384"]}],"countries":["GB","NG"],"is_corresponding":true,"raw_author_name":"Mobayode O. Akinsolu","raw_affiliation_strings":["Faculty of Arts, Computing, and Engineering, Wrexham University, Wrexham LL11 2AW, UK","Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria"],"raw_orcid":"https://orcid.org/0000-0003-1164-5501","affiliations":[{"raw_affiliation_string":"Faculty of Arts, Computing, and Engineering, Wrexham University, Wrexham LL11 2AW, UK","institution_ids":["https://openalex.org/I184856343"]},{"raw_affiliation_string":"Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria","institution_ids":["https://openalex.org/I70593384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063301545","display_name":"Wilson Sakpere","orcid":"https://orcid.org/0000-0003-2429-8924"},"institutions":[{"id":"https://openalex.org/I70593384","display_name":"Lead City University","ror":"https://ror.org/043z5qa52","country_code":"NG","type":"education","lineage":["https://openalex.org/I70593384"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Wilson Sakpere","raw_affiliation_strings":["Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria"],"raw_orcid":"https://orcid.org/0000-0003-2429-8924","affiliations":[{"raw_affiliation_string":"Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria","institution_ids":["https://openalex.org/I70593384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075558415","display_name":"A. Y. Sangodoyin","orcid":"https://orcid.org/0000-0001-7346-4701"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]},{"id":"https://openalex.org/I70593384","display_name":"Lead City University","ror":"https://ror.org/043z5qa52","country_code":"NG","type":"education","lineage":["https://openalex.org/I70593384"]}],"countries":["GB","NG"],"is_corresponding":false,"raw_author_name":"Abimbola O. Sangodoyin","raw_affiliation_strings":["Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria","School of Engineering and Physical Sciences, University of Lincoln, Lincoln LN6 7TS, UK"],"raw_orcid":"https://orcid.org/0000-0001-7346-4701","affiliations":[{"raw_affiliation_string":"Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria","institution_ids":["https://openalex.org/I70593384"]},{"raw_affiliation_string":"School of Engineering and Physical Sciences, University of Lincoln, Lincoln LN6 7TS, UK","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032596658","display_name":"Uyoata Uyoata","orcid":"https://orcid.org/0000-0001-7627-7581"},"institutions":[{"id":"https://openalex.org/I60470151","display_name":"Modibbo Adama University of Technology","ror":"https://ror.org/015dhe595","country_code":"NG","type":"education","lineage":["https://openalex.org/I60470151"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Uyoata E. Uyoata","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Modibbo Adama University, Yola 640231, Adamawa State, Nigeria"],"raw_orcid":"https://orcid.org/0000-0001-7627-7581","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Modibbo Adama University, Yola 640231, Adamawa State, Nigeria","institution_ids":["https://openalex.org/I60470151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021974142","display_name":"Isaac Owusu-Nyarko","orcid":"https://orcid.org/0000-0001-8977-937X"},"institutions":[{"id":"https://openalex.org/I3132438211","display_name":"Regional Maritime University","ror":"https://ror.org/03791dn70","country_code":"GH","type":"education","lineage":["https://openalex.org/I3132438211"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Isaac Owusu-Nyarko","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Regional Maritime University, Accra P.O. GP 1115, Ghana"],"raw_orcid":"https://orcid.org/0000-0001-8977-937X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Regional Maritime University, Accra P.O. GP 1115, Ghana","institution_ids":["https://openalex.org/I3132438211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040712791","display_name":"Folahanmi Tomiwa Akinsolu","orcid":"https://orcid.org/0000-0002-6782-9820"},"institutions":[{"id":"https://openalex.org/I70593384","display_name":"Lead City University","ror":"https://ror.org/043z5qa52","country_code":"NG","type":"education","lineage":["https://openalex.org/I70593384"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Folahanmi T. Akinsolu","raw_affiliation_strings":["Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria"],"raw_orcid":"https://orcid.org/0000-0002-6782-9820","affiliations":[{"raw_affiliation_string":"Faculty of Natural and Applied Sciences, Lead City University, Ibadan 200255, Oyo State, Nigeria","institution_ids":["https://openalex.org/I70593384"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5055138487"],"corresponding_institution_ids":["https://openalex.org/I184856343","https://openalex.org/I70593384"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.3019,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84947248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"9","first_page":"783","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9990000128746033,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9990000128746033,"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/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/T10917","display_name":"Smart Grid Security and Resilience","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5224000215530396},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4641999900341034},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.42899999022483826},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.3873000144958496},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.3449000120162964},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.33899998664855957},{"id":"https://openalex.org/keywords/network-planning-and-design","display_name":"Network planning and design","score":0.33559998869895935},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.3305000066757202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239000201225281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5985000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723000168800354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5224000215530396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.42899999022483826},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.3449000120162964},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.26820001006126404},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info16090783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16090783","pdf_url":"https://www.mdpi.com/2078-2489/16/9/783/pdf?version=1757493426","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:539e2c72c89b48388dc8b52312e8fbea","is_oa":true,"landing_page_url":"https://doaj.org/article/539e2c72c89b48388dc8b52312e8fbea","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":"Information, Vol 16, Iss 9, p 783 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info16090783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16090783","pdf_url":"https://www.mdpi.com/2078-2489/16/9/783/pdf?version=1757493426","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329146","display_name":"Adama Science and Technology University","ror":"https://ror.org/02ccba128"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414097097.pdf","grobid_xml":"https://content.openalex.org/works/W4414097097.grobid-xml"},"referenced_works_count":122,"referenced_works":["https://openalex.org/W100464641","https://openalex.org/W205990317","https://openalex.org/W1576825000","https://openalex.org/W1678356000","https://openalex.org/W1857789879","https://openalex.org/W1911106672","https://openalex.org/W1973584191","https://openalex.org/W1975303263","https://openalex.org/W1977631358","https://openalex.org/W1985987493","https://openalex.org/W2003553868","https://openalex.org/W2005109644","https://openalex.org/W2006714543","https://openalex.org/W2010947830","https://openalex.org/W2016023958","https://openalex.org/W2040340473","https://openalex.org/W2045040775","https://openalex.org/W2052611008","https://openalex.org/W2064675550","https://openalex.org/W2067551786","https://openalex.org/W2068597157","https://openalex.org/W2099007136","https://openalex.org/W2101589741","https://openalex.org/W2111001247","https://openalex.org/W2115377324","https://openalex.org/W2139055047","https://openalex.org/W2142827986","https://openalex.org/W2155482699","https://openalex.org/W2166341593","https://openalex.org/W2167158782","https://openalex.org/W2273675851","https://openalex.org/W2315793668","https://openalex.org/W2414564754","https://openalex.org/W2486980099","https://openalex.org/W2500381110","https://openalex.org/W2517975492","https://openalex.org/W2518660493","https://openalex.org/W2537945864","https://openalex.org/W2568283272","https://openalex.org/W2588161437","https://openalex.org/W2589253474","https://openalex.org/W2593192889","https://openalex.org/W2605076645","https://openalex.org/W2617008217","https://openalex.org/W2618530766","https://openalex.org/W2618974155","https://openalex.org/W2755577605","https://openalex.org/W2765811365","https://openalex.org/W2771006757","https://openalex.org/W2777380340","https://openalex.org/W2791718520","https://openalex.org/W2885472719","https://openalex.org/W2893933380","https://openalex.org/W2896384552","https://openalex.org/W2897256107","https://openalex.org/W2898056914","https://openalex.org/W2899392269","https://openalex.org/W2899429604","https://openalex.org/W2900220361","https://openalex.org/W2919115771","https://openalex.org/W2955338161","https://openalex.org/W2980191379","https://openalex.org/W3006215384","https://openalex.org/W3015958628","https://openalex.org/W3019822238","https://openalex.org/W3040521429","https://openalex.org/W3084005002","https://openalex.org/W3096914200","https://openalex.org/W3097926108","https://openalex.org/W3110616649","https://openalex.org/W3113418120","https://openalex.org/W3132973698","https://openalex.org/W3133133108","https://openalex.org/W3135028703","https://openalex.org/W3149084432","https://openalex.org/W3159415473","https://openalex.org/W3164495816","https://openalex.org/W3177795942","https://openalex.org/W3182896506","https://openalex.org/W3198147008","https://openalex.org/W3207397866","https://openalex.org/W3214920362","https://openalex.org/W4200219732","https://openalex.org/W4205751894","https://openalex.org/W4206679394","https://openalex.org/W4211049957","https://openalex.org/W4223574237","https://openalex.org/W4224868718","https://openalex.org/W4245160364","https://openalex.org/W4247680473","https://openalex.org/W4249753629","https://openalex.org/W4285801505","https://openalex.org/W4286433356","https://openalex.org/W4289520498","https://openalex.org/W4294723894","https://openalex.org/W4300972769","https://openalex.org/W4312281905","https://openalex.org/W4318479978","https://openalex.org/W4320490631","https://openalex.org/W4376890679","https://openalex.org/W4379383020","https://openalex.org/W4384917038","https://openalex.org/W4385737669","https://openalex.org/W4385802124","https://openalex.org/W4387364178","https://openalex.org/W4387609113","https://openalex.org/W4388724521","https://openalex.org/W4391046504","https://openalex.org/W4391432544","https://openalex.org/W4391457558","https://openalex.org/W4392207741","https://openalex.org/W4394686888","https://openalex.org/W4396962699","https://openalex.org/W4399918187","https://openalex.org/W4400640788","https://openalex.org/W4401419559","https://openalex.org/W4402230126","https://openalex.org/W4404618839","https://openalex.org/W4406985701","https://openalex.org/W4407938475","https://openalex.org/W4410294984","https://openalex.org/W4410773906"],"related_works":["https://openalex.org/W2378757965","https://openalex.org/W4224903346","https://openalex.org/W1593262897","https://openalex.org/W2372869593","https://openalex.org/W2384194537","https://openalex.org/W2031011156","https://openalex.org/W2368745429","https://openalex.org/W3171126029","https://openalex.org/W2369984616","https://openalex.org/W911553556"],"abstract_inverted_index":{"Software-defined":[0],"networking":[1],"(SDN)":[2],"is":[3,98,101,149,155,164,201,215,225,296],"a":[4,27,40,83,91,110,115,184,231,236,342],"transformative":[5],"approach":[6],"for":[7,334],"managing":[8],"modern":[9],"network":[10,133,179,207,214,224,292,312,336],"architectures,":[11],"particularly":[12],"in":[13,143,341],"Internet-of-Things":[14],"(IoT)":[15],"applications.":[16],"However,":[17],"ensuring":[18],"the":[19,192,197,221,254,263,267,281,288,308,322],"optimal":[20],"SDN":[21,285],"performance":[22,219,249],"and":[23,50,64,76,79,130,140,186,203,235,245,275,331,339],"security":[24],"often":[25],"needs":[26],"robust":[28,112,335],"sensitivity":[29],"analysis":[30,338],"(SA).":[31],"To":[32,87,251],"complement":[33],"existing":[34,55,96,106],"SA":[35,42,56,113,139,209,333],"methods,":[36],"this":[37,89,319],"study":[38],"proposes":[39],"new":[41,343],"framework":[43,123],"that":[44,272,314],"integrates":[45],"design":[46],"of":[47,67,94,114,220,265,283,310,324],"experiments":[48],"(DOE)":[49],"machine-learning":[51],"(ML)":[52],"techniques.":[53],"Although":[54],"methods":[57,69],"have":[58,70],"been":[59],"shown":[60],"to":[61,72,108,137,157,166,170,190,261],"be":[62],"effective":[63],"scalable,":[65],"most":[66],"these":[68,105],"yet":[71],"hybridize":[73],"anomaly":[74],"detection":[75,305],"classification":[77,185],"(ADC)":[78],"data":[80,135,169,172,329],"augmentation":[81,136],"into":[82],"single,":[84],"unified":[85],"framework.":[86,345],"fill":[88],"gap,":[90],"targeted":[92],"application":[93],"well-established":[95],"techniques":[97,107],"proposed.":[99],"This":[100],"achieved":[102],"by":[103],"hybridizing":[104,325],"undertake":[109],"more":[111],"typified":[116,175],"SDN-reliant":[117,144,177,212,222,290],"IoT":[118,145,178,213,223,291],"network.":[119],"The":[120,218,269],"proposed":[121,198],"hybrid":[122,344],"combines":[124],"Latin":[125],"hypercube":[126],"sampling":[127],"(LHS)-based":[128],"DOE":[129],"generative":[131],"adversarial":[132],"(GAN)-driven":[134],"improve":[138],"support":[141],"ADC":[142,200,295],"networks.":[146],"Hence,":[147],"it":[148],"called":[150],"DOE-GAN-SA.":[151],"In":[152],"DOE-GAN-SA,":[153],"LHS":[154,274],"used":[156,165],"ensure":[158],"uniform":[159],"parameter":[160],"sampling,":[161],"while":[162],"GAN":[163,276],"generate":[167],"synthetic":[168,194,311],"augment":[171],"derived":[173],"from":[174],"real-world":[176],"scenarios.":[180],"DOE-GAN-SA":[181],"also":[182,297],"employs":[183],"regression":[187],"tree":[188],"(CART)":[189],"validate":[191,253],"GAN-generated":[193],"dataset.":[195],"Through":[196],"framework,":[199],"implemented,":[202],"an":[204,211],"artificial":[205],"neural":[206],"(ANN)-driven":[208],"on":[210],"carried":[216],"out.":[217],"analyzed":[226],"under":[227],"two":[228],"conditions:":[229],"namely,":[230],"normal":[232],"operating":[233],"scenario":[234],"distributed-denial-of-service":[237],"(DDoS)":[238],"flooding":[239,303],"attack":[240,304],"scenario,":[241],"using":[242],"throughput,":[243],"jitter,":[244],"response":[246],"time":[247],"as":[248],"metrics.":[250],"statistically":[252],"experimental":[255],"findings,":[256],"hypothesis":[257],"tests":[258],"are":[259],"conducted":[260],"confirm":[262],"significance":[264],"all":[266],"inferences.":[268],"results":[270],"demonstrate":[271],"integrating":[273],"significantly":[277],"enhances":[278],"SA,":[279],"enabling":[280],"identification":[282],"critical":[284],"parameters":[286],"affecting":[287],"modeled":[289],"performance.":[293],"Additionally,":[294],"better":[298],"supported,":[299],"achieving":[300],"higher":[301],"DDoS":[302],"accuracy":[306],"through":[307],"incorporation":[309],"observations":[313],"emulate":[315],"real-time":[316],"traffic.":[317],"Overall,":[318],"work":[320],"highlights":[321],"potential":[323],"LHS-based":[326],"DOE,":[327],"GAN-driven":[328],"augmentation,":[330],"ANN-assisted":[332],"behavioral":[337],"characterization":[340]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}