{"id":"https://openalex.org/W4412404582","doi":"https://doi.org/10.1109/cniot65435.2025.11070474","title":"RF Fingerprinting Based on DAFFM in Low SNR","display_name":"RF Fingerprinting Based on DAFFM in Low SNR","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4412404582","doi":"https://doi.org/10.1109/cniot65435.2025.11070474"},"language":"en","primary_location":{"id":"doi:10.1109/cniot65435.2025.11070474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11070474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","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/A5100405873","display_name":"Yali Zhang","orcid":"https://orcid.org/0009-0002-0353-0114"},"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":true,"raw_author_name":"Yali Zhang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367554","display_name":"Nan Liu","orcid":"https://orcid.org/0000-0003-3610-4883"},"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":"Nan Liu","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021942394","display_name":"Zhiwen Pan","orcid":"https://orcid.org/0000-0002-7266-7264"},"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":"Zhiwen Pan","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100405873"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09288209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9970999956130981,"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":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.5273479223251343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5273479223251343}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cniot65435.2025.11070474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11070474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W146096380","https://openalex.org/W1874399837","https://openalex.org/W2049588903","https://openalex.org/W2587515641","https://openalex.org/W2604813584","https://openalex.org/W2619383789","https://openalex.org/W2752782242","https://openalex.org/W2768696376","https://openalex.org/W2891171053","https://openalex.org/W2903139904","https://openalex.org/W2964051877","https://openalex.org/W3006191871","https://openalex.org/W3016138882","https://openalex.org/W3036914688","https://openalex.org/W3043370557","https://openalex.org/W3094897602","https://openalex.org/W3172553205","https://openalex.org/W3188672418","https://openalex.org/W4289538608","https://openalex.org/W4365420816","https://openalex.org/W4367056173","https://openalex.org/W4385480376","https://openalex.org/W4392543906","https://openalex.org/W4402264241","https://openalex.org/W4402810592","https://openalex.org/W4404824207","https://openalex.org/W6605923570"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"rapid":[1],"growth":[2],"of":[3,6,17,59,165],"the":[4,15,57,100,112,125,129,145,150,158,162,166,184],"Internet":[5],"Things":[7],"(IoT)":[8],"has":[9,44],"led":[10],"to":[11,40,52,143],"a":[12,47,82,88,106,140,180],"surge":[13],"in":[14],"number":[16],"devices":[18],"accessing":[19],"wireless":[20],"networks,":[21],"raising":[22],"an":[23],"urgent":[24],"need":[25],"for":[26],"secure":[27],"authentication.":[28],"Radio":[29],"Frequency":[30],"Fingerprinting":[31],"(RFF)":[32],"utilizes":[33],"unique":[34],"signal":[35,118],"features":[36,119],"from":[37,73],"hardware":[38],"imperfections":[39],"identify":[41],"devices.":[42],"It":[43],"emerged":[45],"as":[46],"promising":[48],"physical-layer":[49],"solution":[50],"due":[51],"its":[53],"passive":[54],"operation":[55],"and":[56,66,104,114,120],"elimination":[58],"key":[60],"management":[61],"requirements.":[62],"However,":[63],"under":[64],"complex":[65],"noisy":[67],"channels,":[68],"traditional":[69],"RFF":[70,84],"methods":[71],"suffer":[72],"performance":[74,164],"degradation.":[75],"To":[76],"address":[77],"this":[78],"issue,":[79],"we":[80],"propose":[81],"robust":[83],"method":[85,96],"based":[86],"on":[87,157],"Dual-path":[89],"Attention":[90],"Feature":[91],"Fusion":[92],"Module":[93],"(DAFFM).":[94],"This":[95],"is":[97],"built":[98],"upon":[99],"Transformer":[101],"attention":[102],"mechanism":[103],"introduces":[105],"dual-path":[107],"cross-attention":[108],"structure":[109],"that":[110],"enhances":[111],"interaction":[113],"fusion":[115],"between":[116,135],"I/Q":[117],"time-frequency":[121],"features.":[122],"By":[123],"alternating":[124],"dominant":[126],"mode":[127],"mechanism,":[128],"model":[130],"effectively":[131],"captures":[132],"complementary":[133],"information":[134],"modes.":[136],"Furthermore,":[137],"DAFFM":[138],"uses":[139],"self-attention":[141],"module":[142],"enhance":[144],"intra-modal":[146],"dependencies,":[147],"which":[148,178],"improves":[149],"overall":[151],"feature":[152],"extraction":[153],"capability.":[154],"Experimental":[155],"results":[156],"ORACLE":[159],"dataset":[160],"demonstrate":[161],"superior":[163],"proposed":[167],"method,":[168],"achieving":[169],"85.16%":[170],"recognition":[171],"accuracy":[172],"at":[173],"SNR":[174],"=":[175],"0":[176],"dB,":[177],"represents":[179],"37.97%":[181],"improvement":[182],"over":[183],"state-of-art":[185],"method.":[186]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}