{"id":"https://openalex.org/W4414539255","doi":"https://doi.org/10.1109/icc52391.2025.11160882","title":"Open Set RF Fingerprinting Identification: A Joint Prediction and Siamese Comparison Framework","display_name":"Open Set RF Fingerprinting Identification: A Joint Prediction and Siamese Comparison Framework","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539255","doi":"https://doi.org/10.1109/icc52391.2025.11160882"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11160882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5008996322","display_name":"Donghong Cai","orcid":"https://orcid.org/0000-0001-5350-135X"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghong Cai","raw_affiliation_strings":["Jinan University,College of Cyber Security and College of Information Science and Technology,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,College of Cyber Security and College of Information Science and Technology,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016737406","display_name":"Jiahao Shan","orcid":"https://orcid.org/0000-0002-7941-9933"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Shan","raw_affiliation_strings":["Jinan University,College of Cyber Security and College of Information Science and Technology,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,College of Cyber Security and College of Information Science and Technology,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103192427","display_name":"Ning Gao","orcid":"https://orcid.org/0000-0001-7067-1211"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Ning Gao","raw_affiliation_strings":["Southeast University,The School of Cyber Science and Engineering,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,The School of Cyber Science and Engineering,Nanjing,China,210096","institution_ids":["https://openalex.org/I4210090971","https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063195188","display_name":"Bingtao He","orcid":"https://orcid.org/0000-0002-3269-5826"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingtao He","raw_affiliation_strings":["Xidian University,The State Key Laboratory of Integrated Services Networks,Xi&#x0027;an,China,710071"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,The State Key Laboratory of Integrated Services Networks,Xi&#x0027;an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062020254","display_name":"Yingyang Chen","orcid":"https://orcid.org/0000-0002-1343-9202"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyang Chen","raw_affiliation_strings":["Jinan University,College of Cyber Security and College of Information Science and Technology,Guangzhou,China,510632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,College of Cyber Security and College of Information Science and Technology,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880047","display_name":"Pingzhi Fan","orcid":"https://orcid.org/0000-0002-8281-6251"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingzhi Fan","raw_affiliation_strings":["Southwest Jiaotong University,Institute of Mobile Communications,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,Institute of Mobile Communications,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1007","last_page":"1012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9628000259399414,"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":0.9628000259399414,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.95169997215271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567799985408783},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5482000112533569},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5406000018119812},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.5192999839782715},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5009999871253967},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4896000027656555},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.48539999127388},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48489999771118164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646399974822998},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567799985408783},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.5192999839782715},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4968000054359436},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4896000027656555},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.48539999127388},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48489999771118164},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4580000042915344},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.38100001215934753},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3357999920845032},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.3052000105381012},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C164953516","wikidata":"https://www.wikidata.org/wiki/Q320357","display_name":"Closed set","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.26330000162124634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11160882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2115735006","https://openalex.org/W2171590421","https://openalex.org/W2431890594","https://openalex.org/W2887906137","https://openalex.org/W2969468102","https://openalex.org/W2981392034","https://openalex.org/W3111389230","https://openalex.org/W3181667991","https://openalex.org/W3194740358","https://openalex.org/W4315630318","https://openalex.org/W4379382342","https://openalex.org/W4402568261","https://openalex.org/W4406355234"],"related_works":[],"abstract_inverted_index":{"Radio":[0],"Frequency":[1],"Fingerprinting":[2],"Identification":[3],"(RFFI)":[4],"is":[5,111],"a":[6,67,86,100,114],"lightweight":[7],"physical":[8],"layer":[9],"identity":[10],"authentication":[11],"technique.":[12],"It":[13],"identifies":[14],"the":[15,21,27,51,94,104,127],"radio":[16,69,87],"frequency":[17,70,88],"device":[18,147],"by":[19,26],"analyzing":[20],"signal":[22],"feature":[23,52],"differences":[24],"caused":[25],"inevitable":[28],"minor":[29],"hardware":[30],"impairments.":[31],"However,":[32],"existing":[33],"RFFI":[34],"methods":[35],"based":[36],"on":[37],"closed":[38],"set":[39,80,132],"recognition":[40],"struggle":[41],"to":[42,92],"detect":[43],"unknown":[44],"unauthorized":[45],"devices":[46,56],"in":[47,113],"open":[48,79,131],"environments.":[49],"Moreover,":[50],"interference":[53,123],"among":[54,103],"legitimate":[55],"can":[57,143],"further":[58],"compromise":[59],"identification":[60],"accuracy.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,83],"propose":[66],"joint":[68],"fingerprint":[71,89],"prediction":[72,90],"and":[73,124,149],"siamese":[74,115],"comparison":[75,102],"(JRFFP-SC)":[76],"framework":[77,120,142],"for":[78,152],"recognition.":[81],"Specifically,":[82],"first":[84],"employ":[85],"network":[91],"predict":[93],"most":[95],"probable":[96],"category":[97],"result.":[98],"Then":[99],"detailed":[101],"test":[105],"sample's":[106],"features":[107],"with":[108,130],"registered":[109],"samples":[110],"performed":[112],"network.":[116],"The":[117,134],"proposed":[118,140],"JRFFP-SC":[119,141],"eliminates":[121],"inter-class":[122],"effectively":[125],"addresses":[126],"challenges":[128],"associated":[129],"identification.":[133],"simulation":[135],"results":[136],"show":[137],"that":[138],"our":[139],"achieve":[144],"excellent":[145],"rogue":[146],"detection":[148],"generalization":[150],"capability":[151],"classifying":[153],"devices.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
