{"id":"https://openalex.org/W4388893601","doi":"https://doi.org/10.1109/wincom59760.2023.10322912","title":"SDN Controllers and ML-Based Anomaly Detection in Embedded Systems: A Comparative Analysis","display_name":"SDN Controllers and ML-Based Anomaly Detection in Embedded Systems: A Comparative Analysis","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388893601","doi":"https://doi.org/10.1109/wincom59760.2023.10322912"},"language":"en","primary_location":{"id":"doi:10.1109/wincom59760.2023.10322912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom59760.2023.10322912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","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/A5112055401","display_name":"Carlos Gonz\u00e1lez","orcid":null},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Carlos Gonzalez","raw_affiliation_strings":["Southern Brittany University,Department of Sciences and Engineering Sciences (SSI),Lorient,France","Department of Sciences and Engineering Sciences (SSI), Southern Brittany University, Lorient, France"],"affiliations":[{"raw_affiliation_string":"Southern Brittany University,Department of Sciences and Engineering Sciences (SSI),Lorient,France","institution_ids":["https://openalex.org/I2802204017"]},{"raw_affiliation_string":"Department of Sciences and Engineering Sciences (SSI), Southern Brittany University, Lorient, France","institution_ids":["https://openalex.org/I2802204017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002665294","display_name":"Salim Mahamat Charfadine","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salim Mahamat Charfadine","raw_affiliation_strings":["National Superior School of TIC,ENASTIC,N’Djaména,Tchad"],"affiliations":[{"raw_affiliation_string":"National Superior School of TIC,ENASTIC,N’Djaména,Tchad","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112055401"],"corresponding_institution_ids":["https://openalex.org/I2802204017"],"apc_list":null,"apc_paid":null,"fwci":0.6019,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69693646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7955261468887329},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6709494590759277},{"id":"https://openalex.org/keywords/software-defined-networking","display_name":"Software-defined networking","score":0.6368651390075684},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6154147386550903},{"id":"https://openalex.org/keywords/forwarding-plane","display_name":"Forwarding plane","score":0.5901879072189331},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5846260190010071},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5427307486534119},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5240535736083984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5047775506973267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4657052159309387},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4357263743877411},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38743069767951965},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.2934410572052002},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22117993235588074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7955261468887329},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6709494590759277},{"id":"https://openalex.org/C77270119","wikidata":"https://www.wikidata.org/wiki/Q1655198","display_name":"Software-defined networking","level":2,"score":0.6368651390075684},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6154147386550903},{"id":"https://openalex.org/C10597312","wikidata":"https://www.wikidata.org/wiki/Q5473302","display_name":"Forwarding plane","level":3,"score":0.5901879072189331},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5846260190010071},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5427307486534119},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5240535736083984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5047775506973267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657052159309387},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4357263743877411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38743069767951965},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2934410572052002},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22117993235588074},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom59760.2023.10322912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom59760.2023.10322912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1966312720","https://openalex.org/W2434182820","https://openalex.org/W2804113891","https://openalex.org/W2912874758","https://openalex.org/W3000572988","https://openalex.org/W3026477862","https://openalex.org/W3092471356","https://openalex.org/W3093530773","https://openalex.org/W3111855203","https://openalex.org/W3113240487","https://openalex.org/W3115107699","https://openalex.org/W3118779276","https://openalex.org/W3136712907","https://openalex.org/W3156681767","https://openalex.org/W3159037623","https://openalex.org/W3178766051","https://openalex.org/W3191493850","https://openalex.org/W4285274733","https://openalex.org/W4361731410","https://openalex.org/W4366204865","https://openalex.org/W4377008974"],"related_works":["https://openalex.org/W2387580700","https://openalex.org/W2746581472","https://openalex.org/W60934498","https://openalex.org/W2899285606","https://openalex.org/W4214777079","https://openalex.org/W3122360749","https://openalex.org/W2547441564","https://openalex.org/W2051935741","https://openalex.org/W4377224402","https://openalex.org/W4243609393"],"abstract_inverted_index":{"Software-defined":[0],"networking":[1,6],"(SDN)":[2],"is":[3,78,146],"a":[4,38,53],"novel":[5],"paradigm":[7],"that":[8,42],"decouples":[9],"the":[10,14,25,45,61,105,139,150,157],"control":[11],"plane":[12],"from":[13,52,64],"data":[15,50,177],"plane,":[16],"thereby":[17],"offering":[18],"enhanced":[19],"network":[20,48,55,70,101,117],"programmability":[21],"and":[22,92,127,167],"flexibility.":[23],"However,":[24],"introduction":[26],"of":[27,47,75,107,159],"SDN":[28,66,161],"has":[29],"brought":[30],"forth":[31],"unique":[32],"security":[33],"challenges.":[34],"This":[35],"study":[36,77],"presents":[37],"comprehensive":[39],"comparative":[40],"analysis":[41],"focuses":[43],"on":[44,100],"classification":[46,98,178],"traffic":[49,102,176],"derived":[51],"realistic":[54],"implementation.":[56],"The":[57,72,119],"dataset":[58],"acquired":[59],"via":[60],"REST":[62],"API":[63],"three":[65],"controllers":[67],"encompasses":[68],"diverse":[69],"features.":[71],"main":[73],"aim":[74],"this":[76],"to":[79,96],"employ":[80],"machine":[81,172],"learning":[82,173],"algorithms,":[83],"specifically":[84],"Decision":[85],"Tree":[86],"(DT),":[87],"Support":[88],"Vector":[89],"Machines":[90],"(SVMs),":[91],"Neural":[93],"Networks":[94],"(NN),":[95],"perform":[97],"tasks":[99],"data.":[103,118],"Subsequently,":[104],"performance":[106,133,163],"these":[108],"algorithms":[109,174],"was":[110],"evaluated":[111],"in":[112,179],"real":[113],"time":[114,141],"using":[115],"collected":[116],"results":[120],"revealed":[121],"notable":[122],"accuracy":[123],"rates":[124],"for":[125,142,175],"DT":[126],"SVMs,":[128],"while":[129],"NN":[130],"showed":[131],"improved":[132],"compared":[134],"with":[135],"recent":[136],"studies.":[137],"Nevertheless,":[138],"reaction":[140],"detecting":[143],"anomalous":[144],"behaviors":[145],"notably":[147],"compromised":[148],"across":[149,164],"OpenDaylight":[151],"(ODL)":[152],"controller.":[153],"These":[154],"findings":[155],"underscore":[156],"significance":[158],"comprehending":[160],"controller":[162],"various":[165],"attack":[166],"target":[168],"scenarios":[169],"when":[170],"deploying":[171],"embedded":[180],"system":[181],"networks.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}