{"id":"https://openalex.org/W4401327821","doi":"https://doi.org/10.1145/3672202.3673723","title":"Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference","display_name":"Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference","publication_year":2024,"publication_date":"2024-08-04","ids":{"openalex":"https://openalex.org/W4401327821","doi":"https://doi.org/10.1145/3672202.3673723"},"language":"en","primary_location":{"id":"doi:10.1145/3672202.3673723","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672202.3673723","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672202.3673723","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3672202.3673723","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103534201","display_name":"Shayan Azizi","orcid":"https://orcid.org/0009-0003-1929-2605"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shayan Azizi","raw_affiliation_strings":["UNSW Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0009-0003-1929-2605","affiliations":[{"raw_affiliation_string":"UNSW Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021367845","display_name":"Norihiro Okui","orcid":"https://orcid.org/0009-0004-0699-4816"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihiro Okui","raw_affiliation_strings":["KDDI Research, Inc., Saitama, Japan"],"raw_orcid":"https://orcid.org/0009-0004-0699-4816","affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017131657","display_name":"Masataka Nakahara","orcid":"https://orcid.org/0009-0004-1528-535X"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masataka Nakahara","raw_affiliation_strings":["KDDI Research, Inc., Saitama, Japan"],"raw_orcid":"https://orcid.org/0009-0004-1528-535X","affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113320968","display_name":"Ayumu Kubota","orcid":"https://orcid.org/0009-0008-1337-311X"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayumu Kubota","raw_affiliation_strings":["KDDI Research, Inc., Saitama, Japan"],"raw_orcid":"https://orcid.org/0009-0008-1337-311X","affiliations":[{"raw_affiliation_string":"KDDI Research, Inc., Saitama, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029634834","display_name":"Gustavo Batista","orcid":"https://orcid.org/0000-0002-3482-8442"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gustavo Batista","raw_affiliation_strings":["UNSW Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3482-8442","affiliations":[{"raw_affiliation_string":"UNSW Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030677680","display_name":"Hassan Habibi Gharakheili","orcid":"https://orcid.org/0000-0002-9333-7635"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hassan Habibi Gharakheili","raw_affiliation_strings":["UNSW Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9333-7635","affiliations":[{"raw_affiliation_string":"UNSW Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9979000091552734,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654815912246704},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6138692498207092},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5840705633163452},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4627276659011841},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32621943950653076},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.232130765914917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16170674562454224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654815912246704},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6138692498207092},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5840705633163452},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4627276659011841},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32621943950653076},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.232130765914917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16170674562454224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672202.3673723","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672202.3673723","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672202.3673723","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3672202.3673723","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672202.3673723","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672202.3673723","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401327821.pdf","grobid_xml":"https://content.openalex.org/works/W4401327821.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1559049942","https://openalex.org/W2157103390","https://openalex.org/W2157664934","https://openalex.org/W2574448563","https://openalex.org/W2891560655","https://openalex.org/W2903957940","https://openalex.org/W2921669466","https://openalex.org/W2930144424","https://openalex.org/W3005444580","https://openalex.org/W3015181824","https://openalex.org/W3160058503","https://openalex.org/W3197507133","https://openalex.org/W3200219001","https://openalex.org/W3206325220","https://openalex.org/W4321487091","https://openalex.org/W6675040714","https://openalex.org/W6799282780","https://openalex.org/W6840997073"],"related_works":["https://openalex.org/W4391375266","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/W2950174689","https://openalex.org/W2358668433","https://openalex.org/W4200598720"],"abstract_inverted_index":{"Data-driven":[0],"inference":[1,29],"from":[2,37,164,171,183],"network":[3,69],"traffic":[4,35],"is":[5],"increasingly":[6],"becoming":[7],"a":[8,147,157],"practical,":[9],"cost-effective,":[10],"and":[11,84,142,169],"scalable":[12],"method":[13],"for":[14,40],"various":[15,73],"use":[16],"cases,":[17],"among":[18],"them":[19,131],"managing":[20],"the":[21,66,88,99,105,110,112,125,135],"cyber":[22],"health":[23],"of":[24,101,127,137],"Internet-of-Things":[25],"(IoT)":[26],"networks.":[27],"However,":[28],"models":[30],"trained":[31,128],"on":[32,104,109],"IoT":[33,74,167,173],"device":[34,57,75],"patterns":[36,71,90],"constrained":[38],"environments":[39],"limited":[41],"periods":[42],"may":[43],"not":[44],"accurately":[45],"predict":[46],"outcomes":[47],"when":[48],"new":[49],"contexts":[50],"are":[51],"introduced":[52],"or":[53],"variations":[54],"emerge":[55],"in":[56,68,87,139],"behaviors.":[58],"In":[59],"our":[60],"research,":[61],"we":[62,153],"begin":[63],"by":[64,146],"quantifying":[65],"changes":[67,86,103],"behavior":[70],"across":[72],"types.":[76],"This":[77],"will":[78],"help":[79],"to":[80,120,132,156,185],"explain":[81],"whether,":[82],"when,":[83],"how":[85],"learned":[89],"can":[91],"degrade":[92],"predictions.":[93],"Our":[94],"preliminary":[95],"experiments":[96],"show":[97],"that":[98,123],"effect":[100],"these":[102],"performance":[106],"highly":[107],"depends":[108],"way":[111],"model":[113],"establishes":[114],"its":[115],"decision":[116],"boundaries.":[117],"We":[118],"aim":[119],"develop":[121],"techniques":[122],"facilitate":[124],"adaptation":[126],"models,":[129],"enabling":[130],"effectively":[133],"address":[134],"evolution":[136],"behaviors":[138],"both":[140],"temporal":[141],"spatial":[143],"domains.":[144],"Provided":[145],"major":[148],"Internet":[149],"Service":[150],"Provider":[151],"(ISP)":[152],"have":[154],"access":[155],"dataset":[158],"comprising":[159],"nearly":[160],"400M":[161],"IPFIX":[162],"records":[163],"about":[165],"400":[166],"devices,":[168],"collected":[170],"an":[172],"lab":[174],"testbed,":[175],"as":[176,178],"well":[177],"25":[179],"real":[180],"smart":[181],"homes":[182],"Feb'19":[184],"Dec'23.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}