{"id":"https://openalex.org/W4407783450","doi":"https://doi.org/10.1109/comsnets63942.2025.10885715","title":"TinyDevID: TinyML-Driven IoT Devices IDentification Using Network Flow Data","display_name":"TinyDevID: TinyML-Driven IoT Devices IDentification Using Network Flow Data","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4407783450","doi":"https://doi.org/10.1109/comsnets63942.2025.10885715"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets63942.2025.10885715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","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/A5041200038","display_name":"Priyanka Rushikesh Chaudhary","orcid":"https://orcid.org/0000-0002-4337-2336"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Priyanka Rushikesh Chaudhary","raw_affiliation_strings":["BITS Pilani,Department of CSIS,India"],"affiliations":[{"raw_affiliation_string":"BITS Pilani,Department of CSIS,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101535147","display_name":"Anand Agrawal","orcid":"https://orcid.org/0000-0002-0448-0975"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anand Agrawal","raw_affiliation_strings":["BITS Pilani,Department of CSIS,India"],"affiliations":[{"raw_affiliation_string":"BITS Pilani,Department of CSIS,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017589430","display_name":"Rajib Ranjan Maiti","orcid":"https://orcid.org/0000-0002-5510-8217"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajib Ranjan Maiti","raw_affiliation_strings":["BITS Pilani,Department of CSIS,India"],"affiliations":[{"raw_affiliation_string":"BITS Pilani,Department of CSIS,India","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041200038"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":1.5567,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80494374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1335","last_page":"1340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9783999919891357,"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":0.9783999919891357,"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":0.9451000094413757,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9341999888420105,"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":0.7136768102645874},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6554835438728333},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6125278472900391},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.46447432041168213},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41843605041503906},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.250484824180603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7136768102645874},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6554835438728333},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6125278472900391},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.46447432041168213},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41843605041503906},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.250484824180603},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/comsnets63942.2025.10885715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2072278959","https://openalex.org/W2104599106","https://openalex.org/W2895909303","https://openalex.org/W2901909474","https://openalex.org/W2921669466","https://openalex.org/W2950767885","https://openalex.org/W3001128173","https://openalex.org/W3206111957","https://openalex.org/W3216593926","https://openalex.org/W4220846496","https://openalex.org/W4223954295","https://openalex.org/W4296437222","https://openalex.org/W4385863554","https://openalex.org/W4399477627","https://openalex.org/W4402830280","https://openalex.org/W4402980382","https://openalex.org/W6851918728"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2390279801","https://openalex.org/W2625093826","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"IoT":[0,21,130,182,230],"device":[1,80,231],"identification":[2,81,232],"is":[3,14,177,203,223],"often":[4],"used":[5],"as":[6,22,112],"the":[7,18,26,150,175,181,212],"first":[8,224],"line":[9],"of":[10,20,29,59,125,128,170,188,200,214],"defense.":[11],"However,":[12],"it":[13,34,234],"challenging":[15],"due":[16],"to":[17,36,78,96,106,115,190,225],"acquisition":[19],"a":[23,56,70,83,86,119,142,197],"business":[24],"by":[25,52],"existing":[27],"vendors":[28],"traditional":[30],"computing":[31],"devices,":[32],"making":[33],"difficult":[35],"adopt":[37],"identifiers":[38],"based":[39],"on":[40],"IP":[41],"or":[42],"MAC":[43],"addresses.":[44],"In":[45,63],"this":[46,50],"paper,":[47],"we":[48,65,109,147],"address":[49],"problem":[51],"using":[53,141,156],"TinyML":[54,77,107,227],"and":[55,68,100,103,136,161,164,196,218,233,238],"small":[57],"set":[58],"generic":[60],"flow-based":[61,139],"features.":[62],"particular,":[64],"have":[66,148,210],"designed":[67],"developed":[69],"novel":[71],"framework,":[72],"called":[73],"TinyDevID,":[74],"that":[75,174,220],"uses":[76],"achieve":[79],"in":[82,132,179],"microcontroller":[84],"having":[85],"very":[87],"limited":[88],"memory.":[89],"TinyDevID":[90,176,215],"employs":[91],"neural":[92],"architecture":[93],"search":[94],"(NAS)":[95],"find":[97],"best-performing":[98],"architectures":[99],"then":[101],"builds":[102],"converts":[104],"them":[105,111],"models,":[108,114,163],"call":[110],"TinyID":[113,162],"be":[116],"deployed":[117],"into":[118],"microcontroller.":[120],"We":[121,209],"collected":[122],"about":[123],"4.5GB":[124],"network":[126],"traces":[127],"three":[129,194],"devices":[131,183,195],"our":[133,171,221],"laboratory":[134],"setup":[135],"extracted":[137],"77":[138],"features":[140,153],"CICFlowMeter.":[143],"Using":[144],"ExtraTree":[145],"classifier,":[146],"selected":[149],"top":[151],"ten":[152],"for":[154,192,229],"classification":[155],"both":[157],"multilayer":[158],"perceptron":[159],"(MLP)":[160],"compared":[165,211],"their":[166],"performances.":[167],"The":[168],"results":[169,213],"analysis":[172],"show":[173,219],"effective":[178],"identifying":[180],"with":[184,216],"an":[185],"average":[186],"accuracy":[187,199,237],"up":[189],"91%":[191],"all":[193],"maximum":[198],"97%,":[201],"which":[202],"slightly":[204],"higher":[205],"than":[206],"MLP":[207],"models.":[208],"state-of-the-art":[217],"work":[222],"use":[226],"models":[228],"achieves":[235],"commendable":[236],"false":[239],"positive":[240],"rates.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
