{"id":"https://openalex.org/W4405014382","doi":"https://doi.org/10.1145/3636534.3698248","title":"Few-shot Learning and Data Augmentation for Cross-Domain UAV Fingerprinting","display_name":"Few-shot Learning and Data Augmentation for Cross-Domain UAV Fingerprinting","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405014382","doi":"https://doi.org/10.1145/3636534.3698248"},"language":"en","primary_location":{"id":"doi:10.1145/3636534.3698248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3636534.3698248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","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/A5002596887","display_name":"Tianya Zhao","orcid":"https://orcid.org/0000-0002-3808-7549"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianya Zhao","raw_affiliation_strings":["Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, US"],"raw_orcid":"https://orcid.org/0000-0002-3808-7549","affiliations":[{"raw_affiliation_string":"Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, US","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417487","display_name":"Ningning Wang","orcid":"https://orcid.org/0000-0002-9118-0080"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ningning Wang","raw_affiliation_strings":["Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-9118-0080","affiliations":[{"raw_affiliation_string":"Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080122431","display_name":"Shiwen Mao","orcid":"https://orcid.org/0000-0002-7052-0007"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiwen Mao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, US"],"raw_orcid":"https://orcid.org/0000-0002-7052-0007","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, US","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043788836","display_name":"Xuyu Wang","orcid":"https://orcid.org/0000-0002-4759-8674"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuyu Wang","raw_affiliation_strings":["Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, US"],"raw_orcid":"https://orcid.org/0000-0002-4759-8674","affiliations":[{"raw_affiliation_string":"Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, US","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2389","last_page":"2394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9988999962806702,"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":0.9988999962806702,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9959999918937683,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.795545220375061},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6536044478416443},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5458025932312012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38784316182136536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795545220375061},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6536044478416443},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5458025932312012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38784316182136536},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3636534.3698248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3636534.3698248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th 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":12,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2903139904","https://openalex.org/W2916832800","https://openalex.org/W2942067158","https://openalex.org/W3004340854","https://openalex.org/W3106557886","https://openalex.org/W3136235398","https://openalex.org/W3154667606","https://openalex.org/W4205528167","https://openalex.org/W4396506270","https://openalex.org/W4401508064","https://openalex.org/W4401508292"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574"],"abstract_inverted_index":{"In":[0],"this":[1,70],"paper,":[2],"we":[3,82],"propose":[4],"a":[5,27,54,85,128],"novel":[6],"approach":[7,120],"to":[8,34,45,63,65,127],"cross-domain":[9,91,132],"unmanned":[10],"aerial":[11],"vehicle":[12],"(UAV)":[13],"authentication":[14],"using":[15],"radio":[16],"frequency":[17],"(RF)":[18],"fingerprinting":[19,32],"based":[20],"on":[21],"prototypical":[22],"networks":[23],"(PTNs).":[24],"UAVs":[25],"present":[26],"unique":[28],"challenge":[29],"for":[30,134],"RF":[31,47],"due":[33],"their":[35],"hovering":[36],"motion,":[37],"which":[38],"creates":[39],"more":[40],"diverse":[41],"signal":[42],"domains":[43],"compared":[44],"other":[46],"devices":[48],"like":[49],"Wi-Fi.":[50],"This":[51],"results":[52,116],"in":[53,76,131],"severe":[55],"domain":[56,123],"shift":[57],"problem,":[58],"where":[59],"well-trained":[60],"models":[61],"struggle":[62],"generalize":[64],"unseen":[66],"domains.":[67],"To":[68],"address":[69],"issue":[71],"without":[72],"incurring":[73],"significant":[74],"costs":[75],"data":[77,106],"collection":[78],"and":[79,93],"model":[80],"retraining,":[81],"employ":[83],"PTNs,":[84],"few-shot":[86],"learning":[87],"paradigm":[88],"that":[89,118],"enhances":[90],"performance":[92],"system":[94,109],"viability.":[95],"We":[96],"further":[97],"improve":[98],"our":[99,119],"method's":[100],"effectiveness":[101],"by":[102],"incorporating":[103],"fine-tuning":[104],"with":[105],"augmentation,":[107],"maintaining":[108],"viability":[110],"while":[111],"improving":[112],"performance.":[113],"Comprehensive":[114],"experimental":[115],"demonstrate":[117],"significantly":[121],"mitigates":[122],"shift,":[124],"achieving":[125],"up":[126],"20%":[129],"improvement":[130],"accuracy":[133],"UAV":[135],"fingerprinting.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
