{"id":"https://openalex.org/W3198609830","doi":"https://doi.org/10.1109/icccn52240.2021.9522168","title":"Network Traffic Characteristics of IoT Devices in Smart Homes","display_name":"Network Traffic Characteristics of IoT Devices in Smart Homes","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3198609830","doi":"https://doi.org/10.1109/icccn52240.2021.9522168","mag":"3198609830"},"language":"en","primary_location":{"id":"doi:10.1109/icccn52240.2021.9522168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.01855","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018003666","display_name":"Md Mainuddin","orcid":"https://orcid.org/0000-0002-2821-5324"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Mainuddin","raw_affiliation_strings":["Department of Computer Science, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797828","display_name":"Zhenhai Duan","orcid":"https://orcid.org/0000-0003-2291-675X"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhai Duan","raw_affiliation_strings":["Department of Computer Science, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432280","display_name":"Yingfei Dong","orcid":"https://orcid.org/0000-0003-2371-1043"},"institutions":[{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingfei Dong","raw_affiliation_strings":["Department of Electrical Engineering, University of Hawaii, Honolulu, HI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Hawaii, Honolulu, HI, USA","institution_ids":["https://openalex.org/I1331384533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018003666"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":0.84,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78904501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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":0.9965000152587891,"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":0.7826483249664307},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6672376394271851},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6074744462966919},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5951862931251526},{"id":"https://openalex.org/keywords/deep-packet-inspection","display_name":"Deep packet inspection","score":0.4844698905944824},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4535634219646454},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4519890248775482},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4427296817302704},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.42274153232574463},{"id":"https://openalex.org/keywords/traffic-analysis","display_name":"Traffic analysis","score":0.42023196816444397},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3133828341960907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0859963595867157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826483249664307},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6672376394271851},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6074744462966919},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5951862931251526},{"id":"https://openalex.org/C204679922","wikidata":"https://www.wikidata.org/wiki/Q734252","display_name":"Deep packet inspection","level":3,"score":0.4844698905944824},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4535634219646454},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4519890248775482},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4427296817302704},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.42274153232574463},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.42023196816444397},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3133828341960907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0859963595867157}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icccn52240.2021.9522168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.01855","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.01855","pdf_url":"https://arxiv.org/pdf/2109.01855","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.01855","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.01855","pdf_url":"https://arxiv.org/pdf/2109.01855","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2543641322","https://openalex.org/W2574448563","https://openalex.org/W2754804809","https://openalex.org/W2766438297","https://openalex.org/W2797742547","https://openalex.org/W2888505697","https://openalex.org/W2912944782","https://openalex.org/W2967569942","https://openalex.org/W3003127705","https://openalex.org/W3027485588","https://openalex.org/W3105750153","https://openalex.org/W6744392808"],"related_works":["https://openalex.org/W3129800954","https://openalex.org/W2149721642","https://openalex.org/W2587362999","https://openalex.org/W2949949254","https://openalex.org/W2127561666","https://openalex.org/W432084041","https://openalex.org/W2394010358","https://openalex.org/W2361078351","https://openalex.org/W2986732134","https://openalex.org/W4239349137"],"abstract_inverted_index":{"Understanding":[0],"network":[1,62,76,98,109],"traffic":[2,63,77,99,120,128],"characteristics":[3,64,100,121,129,145],"of":[4,18,32,50,54,65,86,89,101,146],"IoT":[5,19,22,51,66,91,102,115,147,160],"devices":[6,103,116],"plays":[7],"a":[8,30,80,87],"critical":[9,138],"role":[10],"in":[11,46,79],"improving":[12,47],"both":[13],"the":[14,44,48,61,75,97,141],"performance":[15,157],"and":[16,26,73,111,126,143,156],"security":[17,49,155],"devices,":[20,52,148],"including":[21],"device":[23],"identification,":[24],"classification,":[25],"anomaly":[27],"detection.":[28],"Although":[29],"number":[31],"existing":[33],"research":[34],"efforts":[35],"have":[36,56],"developed":[37],"machine-learning":[38],"based":[39],"algorithms":[40,158],"to":[41],"help":[42,151],"address":[43],"challenges":[45],"none":[53],"them":[55],"provided":[57],"detailed":[58],"studies":[59],"on":[60],"devices.":[67,94,161],"In":[68],"this":[69],"paper":[70],"we":[71],"collect":[72],"analyze":[74,96],"generated":[78],"typical":[81],"smart":[82],"homes":[83],"environment":[84],"consisting":[85],"set":[88],"common":[90],"(and":[92],"non-IoT)":[93],"We":[95],"from":[104],"three":[105],"complementary":[106],"aspects:":[107],"remote":[108],"servers":[110],"port":[112],"numbers":[113],"that":[114],"connect":[117],"to,":[118],"flow-level":[119],"such":[122,130],"as":[123,131],"flow":[124],"duration,":[125],"packet-level":[127],"packet":[132],"inter-arrival":[133],"time.":[134],"Our":[135],"study":[136],"provides":[137],"insights":[139],"into":[140],"operational":[142],"behavioral":[144],"which":[149],"can":[150],"develop":[152],"more":[153],"effective":[154],"for":[159]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2021-09-13T00:00:00"}