{"id":"https://openalex.org/W2912944782","doi":"https://doi.org/10.1109/bigdata.2018.8622243","title":"IoT Devices Recognition Through Network Traffic Analysis","display_name":"IoT Devices Recognition Through Network Traffic Analysis","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912944782","doi":"https://doi.org/10.1109/bigdata.2018.8622243","mag":"2912944782"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01994156","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043838151","display_name":"Mustafizur R. Shahid","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mustafizur R. Shahid","raw_affiliation_strings":["CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","TSP - RST - D\u00e9partement R\u00e9seaux et Services de T\u00e9l\u00e9communications (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","CNRS - Centre National de la Recherche Scientifique (France)","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I205703379"]},{"raw_affiliation_string":"TSP - RST - D\u00e9partement R\u00e9seaux et Services de T\u00e9l\u00e9communications (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043016218","display_name":"Gr\u00e9gory Blanc","orcid":"https://orcid.org/0000-0001-8150-6617"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gregory Blanc","raw_affiliation_strings":["CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","CNRS - Centre National de la Recherche Scientifique (France)","TSP - RST - D\u00e9partement R\u00e9seaux et Services de T\u00e9l\u00e9communications (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I205703379"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"TSP - RST - D\u00e9partement R\u00e9seaux et Services de T\u00e9l\u00e9communications (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073982057","display_name":"Zonghua Zhang","orcid":"https://orcid.org/0000-0003-0379-7089"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zonghua Zhang","raw_affiliation_strings":["CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","CNRS - Centre National de la Recherche Scientifique (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I205703379"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038047052","display_name":"Herv\u00e9 Debar","orcid":"https://orcid.org/0000-0002-1344-4167"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Herve Debar","raw_affiliation_strings":["CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","TSP - RST - D\u00e9partement R\u00e9seaux et Services de T\u00e9l\u00e9communications (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","CNRS - Centre National de la Recherche Scientifique (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS SAMOVAR UMR 5157, Institut Mines-T\u00e9l\u00e9com, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I205703379"]},{"raw_affiliation_string":"TSP - RST - D\u00e9partement R\u00e9seaux et Services de T\u00e9l\u00e9communications (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":194,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5187","last_page":"5192"},"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":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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9941999912261963,"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":0.8030058145523071},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5554404258728027},{"id":"https://openalex.org/keywords/networking-hardware","display_name":"Networking hardware","score":0.5052188038825989},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.49780774116516113},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4944770336151123},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.467445969581604},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4414522051811218},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21464255452156067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030058145523071},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5554404258728027},{"id":"https://openalex.org/C159631557","wikidata":"https://www.wikidata.org/wiki/Q1546066","display_name":"Networking hardware","level":2,"score":0.5052188038825989},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.49780774116516113},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4944770336151123},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.467445969581604},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4414522051811218},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21464255452156067},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2018.8622243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01994156v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01994156","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":"BIG DATA 2018: IEEE International Conference on Big Data, Dec 2018, Seattle, United States. pp.5187-5192, ⟨10.1109/BigData.2018.8622243⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01994156v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01994156","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":"BIG DATA 2018: IEEE International Conference on Big Data, Dec 2018, Seattle, United States. pp.5187-5192, ⟨10.1109/BigData.2018.8622243⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2169263368","https://openalex.org/W2485569983","https://openalex.org/W2574448563","https://openalex.org/W2611420549","https://openalex.org/W2620213176","https://openalex.org/W2621148797","https://openalex.org/W2748868501","https://openalex.org/W2754804809","https://openalex.org/W2768696376","https://openalex.org/W2796752442","https://openalex.org/W2797742547","https://openalex.org/W2804338997","https://openalex.org/W2886320151","https://openalex.org/W3103349363","https://openalex.org/W3105750153","https://openalex.org/W6732005117","https://openalex.org/W6739320202","https://openalex.org/W6743493502","https://openalex.org/W6744392808","https://openalex.org/W6750140197","https://openalex.org/W6910651515"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2950174689","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4361251261","https://openalex.org/W3031181660","https://openalex.org/W4285201139"],"abstract_inverted_index":{"The":[0,166,192],"growing":[1],"Internet":[2],"of":[3,26,102,112],"Things":[4],"(IoT)":[5],"market":[6],"introduces":[7],"new":[8],"challenges":[9],"for":[10],"network":[11,15,30,108,123,126,142,159,170,190],"activity":[12],"monitoring.":[13],"Legacy":[14],"monitoring":[16],"is":[17],"not":[18],"tailored":[19],"to":[20,37,45,57,65,71,98,106,124,138,149,156,175,182],"cope":[21],"with":[22,196],"the":[23,46,100,107,130,146,158,169,184,189],"huge":[24],"diversity":[25],"smart":[27,121],"devices.":[28,165],"New":[29],"discovery":[31],"techniques":[32,53],"are":[33,43,154,172,194],"necessary":[34],"in":[35,96],"order":[36,97],"find":[38,58],"out":[39,59],"what":[40],"IoT":[41,74,103,140,164,185],"devices":[42,75,104],"connected":[44,105],"network.":[47],"In":[48,86],"this":[49,87],"context,":[50],"data":[51,167],"analysis":[52],"can":[54,63],"be":[55],"leveraged":[56],"specific":[60,78],"patterns":[61],"that":[62,187],"help":[64],"recognize":[66,99],"device":[67,141,186],"types.":[68],"Indeed,":[69],"contrary":[70],"desktop":[72],"computers,":[73],"perform":[76],"very":[77,84],"tasks":[79],"making":[80],"their":[81],"networking":[82],"behavior":[83],"predictable.":[85],"paper,":[88],"we":[89,133,153],"present":[90],"a":[91,136],"machine":[92,179],"learning":[93,180],"based":[94],"approach":[95],"type":[101],"by":[109,162,209],"analyzing":[110],"streams":[111],"packets":[113],"sent":[114],"and":[115],"received.":[116],"We":[117],"built":[118],"an":[119,197],"experimental":[120],"home":[122],"generate":[125],"traffic":[127,160],"data.":[128],"From":[129],"generated":[131,161,188],"data,":[132,152],"have":[134],"designed":[135],"model":[137],"describe":[139],"behaviors.":[143],"By":[144],"leveraging":[145],"t-SNE":[147],"technique":[148],"visualize":[150],"our":[151,205],"able":[155],"differentiate":[157],"different":[163,178],"describing":[168],"behaviors":[171],"then":[173],"used":[174],"train":[176],"six":[177],"classifiers":[181],"predict":[183],"traffic.":[191],"results":[193],"promising":[195],"overall":[198],"accuracy":[199],"as":[200,202],"high":[201],"99.9%":[203],"on":[204],"test":[206],"set":[207],"achieved":[208],"Random":[210],"Forest":[211],"classifier.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}