{"id":"https://openalex.org/W3175038171","doi":"https://doi.org/10.1145/3448300.3468253","title":"Robust deep-learning-based radio fingerprinting with fine-tuning","display_name":"Robust deep-learning-based radio fingerprinting with fine-tuning","publication_year":2021,"publication_date":"2021-06-24","ids":{"openalex":"https://openalex.org/W3175038171","doi":"https://doi.org/10.1145/3448300.3468253","mag":"3175038171"},"language":"en","primary_location":{"id":"doi:10.1145/3448300.3468253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448300.3468253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100363278","display_name":"Haipeng Li","orcid":"https://orcid.org/0000-0003-4641-3938"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haipeng Li","raw_affiliation_strings":["University of Cincinnati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667784","display_name":"Chenggang Wang","orcid":"https://orcid.org/0009-0006-1549-9731"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenggang Wang","raw_affiliation_strings":["University of Cincinnati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037544707","display_name":"Nirnimesh Ghose","orcid":"https://orcid.org/0000-0003-2138-5977"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirnimesh Ghose","raw_affiliation_strings":["University of Nebraska-Lincoln"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100725035","display_name":"Boyang Wang","orcid":"https://orcid.org/0000-0001-8973-2328"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyang Wang","raw_affiliation_strings":["University of Cincinnati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cincinnati","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6281,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80910449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9984999895095825,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.998199999332428,"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/T10860","display_name":"Speech and Audio Processing","score":0.9909999966621399,"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/robustness","display_name":"Robustness (evolution)","score":0.7203912734985352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118133306503296},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.6420645713806152},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6163293719291687},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6053343415260315},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6015455722808838},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5790619850158691},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5109567046165466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4961291253566742},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4572765827178955},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4490533471107483},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1616286337375641}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7203912734985352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118133306503296},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.6420645713806152},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6163293719291687},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6053343415260315},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6015455722808838},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5790619850158691},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5109567046165466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4961291253566742},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4572765827178955},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4490533471107483},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1616286337375641},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448300.3468253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448300.3468253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5450723025","display_name":"CRII: SaTC: Fingerprinting Encrypted Voice Traffic on Smart Speakers","funder_award_id":"1947913","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3135656071"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327"],"abstract_inverted_index":{"Minute":[0],"hardware":[1,40],"imperfections":[2],"in":[3,80,96,126],"the":[4,30,34,54,91],"radio-frequency":[5],"circuitry":[6],"of":[7,23,29,56,93],"a":[8,15,21,25,97,118],"wireless":[9,81],"device":[10,26],"can":[11],"be":[12],"leveraged":[13],"as":[14],"unique":[16],"fingerprint.":[17],"Radio":[18],"fingerprinting":[19,58,95,125],"is":[20,67,117],"way":[22],"distinguishing":[24],"from":[27,107],"others":[28],"same":[31],"type":[32],"at":[33],"physical":[35],"layer":[36],"by":[37],"utilizing":[38],"these":[39],"imperfections.":[41],"Recent":[42],"studies":[43],"proposed":[44],"to":[45,77,86,89],"utilize":[46],"deep":[47],"learning":[48,116],"over":[49,70],"raw":[50],"I/Q":[51,71,104],"data":[52,72,105],"for":[53,121],"purpose":[55],"radio":[57,65,94,124],"and":[59,102],"achieve":[60],"high":[61],"accuracy.":[62],"Unfortunately,":[63],"deep-learning-based":[64,123],"finger-printing":[66],"not":[68],"robust":[69,122],"across":[73],"different":[74,108],"days":[75],"due":[76],"significant":[78],"changes":[79],"channels.":[82],"This":[83],"study":[84],"proposes":[85],"leverage":[87],"fine-tuning":[88],"improve":[90],"robustness":[92],"cross-day":[98],"scenario,":[99],"where":[100],"training":[101],"test":[103],"are":[106],"days.":[109],"Our":[110],"experimental":[111],"results":[112],"suggest":[113],"that":[114],"transfer":[115],"promising":[119],"approach":[120],"practice.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
