{"id":"https://openalex.org/W4416477159","doi":"https://doi.org/10.1145/3680207.3765665","title":"Poster: Evaluating Effectiveness of Temporal Features and DTW Distance for Radio Frequency Fingerprinting","display_name":"Poster: Evaluating Effectiveness of Temporal Features and DTW Distance for Radio Frequency Fingerprinting","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4416477159","doi":"https://doi.org/10.1145/3680207.3765665"},"language":null,"primary_location":{"id":"doi:10.1145/3680207.3765665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3680207.3765665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","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/A5016714832","display_name":"Takamasa Kikuchi","orcid":"https://orcid.org/0000-0002-1546-062X"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takamasa Kikuchi","raw_affiliation_strings":["Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1546-062X","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109628215","display_name":"Koki Shibata","orcid":"https://orcid.org/0009-0004-9955-1028"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Shibata","raw_affiliation_strings":["Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":"https://orcid.org/0009-0004-9955-1028","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019740585","display_name":"Keiichi Yasumoto","orcid":"https://orcid.org/0000-0003-1579-3237"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Yasumoto","raw_affiliation_strings":["Nara Institute of Science and Technology (NAIST), Ikoma, Nara, Japan","RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1579-3237","affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology (NAIST), Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018937387","display_name":"Jinxiao Zhu","orcid":"https://orcid.org/0000-0001-8654-8461"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinxiao Zhu","raw_affiliation_strings":["Tokyo Denki University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8654-8461","affiliations":[{"raw_affiliation_string":"Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081500746","display_name":"Yin Chen","orcid":"https://orcid.org/0000-0002-2652-8941"},"institutions":[{"id":"https://openalex.org/I193758575","display_name":"Reitaku University","ror":"https://ror.org/02rwyg032","country_code":"JP","type":"education","lineage":["https://openalex.org/I193758575"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yin Chen","raw_affiliation_strings":["Reitaku University, Kashiwa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2652-8941","affiliations":[{"raw_affiliation_string":"Reitaku University, Kashiwa, Japan","institution_ids":["https://openalex.org/I193758575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016714832"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18354567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1296","last_page":"1298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9753999710083008,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9753999710083008,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.0024999999441206455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.002199999988079071,"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/radio-frequency","display_name":"Radio frequency","score":0.6154000163078308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.538100004196167},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4837999939918518},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47269999980926514},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4586000144481659},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4383000135421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658999919891357},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.6154000163078308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122000217437744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.538100004196167},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.31189998984336853},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C76843793","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation model","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3680207.3765665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3680207.3765665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2919720498","https://openalex.org/W2937290901","https://openalex.org/W2981587265","https://openalex.org/W2982145123","https://openalex.org/W3047279638"],"related_works":[],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprinting":[2],"(RFF)":[3],"is":[4],"a":[5,24,57],"technique":[6],"that":[7],"identifies":[8],"wireless":[9],"devices":[10],"by":[11,28],"exploiting":[12],"unique":[13],"hardware-induced":[14],"imperfections":[15],"measured":[16],"in":[17,32,62],"their":[18],"transmitted":[19],"RF":[20,33,68],"signals.":[21,34],"We":[22],"propose":[23],"lightweight":[25],"RFF":[26],"method":[27],"leveraging":[29],"temporal":[30],"variations":[31],"By":[35],"combining":[36],"multi-scale":[37],"feature":[38],"extraction":[39],"through":[40],"coarse":[41],"and":[42,56],"fine":[43],"segmentation":[44],"with":[45],"DTW-based":[46],"similarity":[47],"features,":[48],"our":[49,63],"approach":[50],"achieves":[51],"an":[52],"accuracy":[53],"of":[54,60],"0.9882":[55],"Macro-F1":[58],"score":[59],"0.988":[61],"experiment":[64],"using":[65],"the":[66],"Wi-Fi":[67],"data":[69],"collected":[70],"from":[71],"120":[72],"devices.":[73]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-23T00:00:00"}
