{"id":"https://openalex.org/W2794702552","doi":"https://doi.org/10.1145/3167020.3167061","title":"An autonomic traffic analysis proposal using Machine Learning techniques","display_name":"An autonomic traffic analysis proposal using Machine Learning techniques","publication_year":2017,"publication_date":"2017-11-07","ids":{"openalex":"https://openalex.org/W2794702552","doi":"https://doi.org/10.1145/3167020.3167061","mag":"2794702552"},"language":"en","primary_location":{"id":"doi:10.1145/3167020.3167061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167020.3167061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Management of Digital EcoSystems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02423382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069997503","display_name":"Fannia Pacheco","orcid":"https://orcid.org/0000-0001-6997-0222"},"institutions":[{"id":"https://openalex.org/I144889574","display_name":"Universit\u00e9 de Pau et des Pays de l'Adour","ror":"https://ror.org/01frn9647","country_code":"FR","type":"education","lineage":["https://openalex.org/I144889574"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Fannia Pacheco","raw_affiliation_strings":["Univ Pau & Pays Adour, Liuppa, Anglet, France"],"affiliations":[{"raw_affiliation_string":"Univ Pau & Pays Adour, Liuppa, Anglet, France","institution_ids":["https://openalex.org/I144889574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087889711","display_name":"Ernesto Exp\u00f3sito","orcid":"https://orcid.org/0000-0002-3543-2909"},"institutions":[{"id":"https://openalex.org/I144889574","display_name":"Universit\u00e9 de Pau et des Pays de l'Adour","ror":"https://ror.org/01frn9647","country_code":"FR","type":"education","lineage":["https://openalex.org/I144889574"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ernesto Exposito","raw_affiliation_strings":["Univ Pau & Pays Adour, Liuppa, Anglet, France"],"affiliations":[{"raw_affiliation_string":"Univ Pau & Pays Adour, Liuppa, Anglet, France","institution_ids":["https://openalex.org/I144889574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064681782","display_name":"Mathieu Gineste","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]},{"id":"https://openalex.org/I4400009052","display_name":"Thales Alenia Space (France)","ror":"https://ror.org/05gz77z03","country_code":null,"type":"company","lineage":["https://openalex.org/I2802798279","https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mathieu Gineste","raw_affiliation_strings":["Thales Alenia Space, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Thales Alenia Space, Toulouse, France","institution_ids":["https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081496158","display_name":"Cedric Budoin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]},{"id":"https://openalex.org/I4400009052","display_name":"Thales Alenia Space (France)","ror":"https://ror.org/05gz77z03","country_code":null,"type":"company","lineage":["https://openalex.org/I2802798279","https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cedric Budoin","raw_affiliation_strings":["Thales Alenia Space, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Thales Alenia Space, Toulouse, France","institution_ids":["https://openalex.org/I4210140930","https://openalex.org/I4400009052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069997503"],"corresponding_institution_ids":["https://openalex.org/I144889574"],"apc_list":null,"apc_paid":null,"fwci":0.2077,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67623652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8076777458190918},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.696645975112915},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5558393001556396},{"id":"https://openalex.org/keywords/traffic-analysis","display_name":"Traffic analysis","score":0.5285583734512329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4859065115451813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47295495867729187},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4649468958377838},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4571189880371094},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.4518801271915436},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4424673318862915},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42596060037612915},{"id":"https://openalex.org/keywords/traffic-shaping","display_name":"Traffic shaping","score":0.4251059293746948},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.42003053426742554},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34539008140563965},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11246892809867859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076777458190918},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.696645975112915},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5558393001556396},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.5285583734512329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4859065115451813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47295495867729187},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4649468958377838},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4571189880371094},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.4518801271915436},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4424673318862915},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42596060037612915},{"id":"https://openalex.org/C46451311","wikidata":"https://www.wikidata.org/wiki/Q262550","display_name":"Traffic shaping","level":4,"score":0.4251059293746948},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.42003053426742554},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34539008140563965},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11246892809867859},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3167020.3167061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167020.3167061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Management of Digital EcoSystems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02423382v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02423382","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"the 9th International Conference, Nov 2017, Bangkok, France. pp.273-280, ⟨10.1145/3167020.3167061⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02423382v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02423382","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"the 9th International Conference, Nov 2017, Bangkok, France. pp.273-280, ⟨10.1145/3167020.3167061⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1233254008","https://openalex.org/W1479758699","https://openalex.org/W1524496078","https://openalex.org/W1554944419","https://openalex.org/W1965048080","https://openalex.org/W1977171471","https://openalex.org/W2012426554","https://openalex.org/W2075932300","https://openalex.org/W2083254762","https://openalex.org/W2096118443","https://openalex.org/W2148913232","https://openalex.org/W2171033594","https://openalex.org/W2185584644","https://openalex.org/W2323367893","https://openalex.org/W2345125553","https://openalex.org/W2400162648","https://openalex.org/W2419531601","https://openalex.org/W2511505324","https://openalex.org/W2516941294","https://openalex.org/W2613715541","https://openalex.org/W3000473108","https://openalex.org/W3150719513","https://openalex.org/W4248893321"],"related_works":["https://openalex.org/W2490010379","https://openalex.org/W2114472740","https://openalex.org/W266939152","https://openalex.org/W2374980776","https://openalex.org/W2138225277","https://openalex.org/W2924962435","https://openalex.org/W2141958076","https://openalex.org/W2745966507","https://openalex.org/W2949949254","https://openalex.org/W3174245262"],"abstract_inverted_index":{"Network":[0],"analysis":[1,92,154],"has":[2],"recently":[3],"become":[4],"in":[5,76],"one":[6],"of":[7,19,29,53,133,139],"the":[8,16,80,103,115,127,137,140,148,152],"most":[9],"challenging":[10],"tasks":[11],"to":[12,15,45,50,78,89,105,121,147],"handle":[13],"due":[14],"rapid":[17],"growth":[18],"communication":[20],"technologies.":[21],"For":[22,36],"network":[23,30,111],"management,":[24],"accurate":[25],"identification":[26],"and":[27,49,98,113],"classification":[28],"traffic":[31,39,64,91,110,141,153],"is":[32,43,136],"a":[33,60],"key":[34],"task.":[35],"example,":[37],"identifying":[38],"from":[40,151],"different":[41],"applications":[42],"critical":[44],"manage":[46],"bandwidth":[47],"resources":[48],"ensure":[51],"Quality":[52],"Service":[54],"objectives.":[55],"Machine":[56,95,107],"learning":[57],"emerges":[58],"as":[59],"suitable":[61],"tool":[62],"for":[63],"classification;":[65],"however,":[66],"it":[67],"requires":[68],"several":[69],"steps":[70],"that":[71,143],"must":[72],"be":[73],"followed":[74],"adequately":[75],"order":[77],"achieve":[79],"goals.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85,118],"proposed":[86],"an":[87],"architecture":[88,128],"perform":[90,106],"based":[93],"on":[94],"Learning":[96,108],"techniques":[97],"autonomic":[99],"computing.":[100],"We":[101],"analyze":[102],"procedures":[104,125],"over":[109],"classification,":[112],"at":[114],"same":[116],"time":[117],"give":[119],"guidelines":[120],"introduce":[122],"all":[123],"these":[124],"into":[126],"proposed.":[129],"The":[130],"main":[131],"contribution":[132],"our":[134],"proposal":[135],"reconfiguration":[138],"classifier":[142],"will":[144],"change":[145],"according":[146],"knowledge":[149],"acquired":[150],"process.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}