{"id":"https://openalex.org/W4402352358","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651357","title":"Uncovering the Authentic RF Fingerprint: Exploiting Random Window Slicing and Complex-Valued Network","display_name":"Uncovering the Authentic RF Fingerprint: Exploiting Random Window Slicing and Complex-Valued Network","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352358","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651357"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5101941418","display_name":"Zhuo Zhang","orcid":"https://orcid.org/0000-0003-3243-1019"},"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":true,"raw_author_name":"Zhuo Zhang","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367890","display_name":"Yiran Wang","orcid":"https://orcid.org/0000-0002-5786-8789"},"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":"Yiran Wang","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590637","display_name":"Jing Bai","orcid":"https://orcid.org/0000-0002-3323-2946"},"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":"Jing Bai","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001435169","display_name":"Zhu Xiao","orcid":"https://orcid.org/0000-0001-5645-160X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Xiao","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110254632","display_name":"Huaji Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124847","display_name":"National Engineering Research Center of Electromagnetic Radiation Control Materials","ror":"https://ror.org/02k4dcs46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210124847"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaji Zhou","raw_affiliation_strings":["National Key Laboratory of Electromagnetic Space Security,Jiaxing,China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Electromagnetic Space Security,Jiaxing,China","institution_ids":["https://openalex.org/I4210124847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101941418"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.7274,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7598701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T10828","display_name":"Biometric Identification and Security","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9955000281333923,"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":0.7651087045669556},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.7440663576126099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007511854171753},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5817463397979736},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5270167589187622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3567265272140503},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1357547640800476}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7651087045669556},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.7440663576126099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007511854171753},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5817463397979736},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5270167589187622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3567265272140503},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1357547640800476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1857382374","https://openalex.org/W2000053617","https://openalex.org/W2096733369","https://openalex.org/W2107920147","https://openalex.org/W2108020477","https://openalex.org/W2108286220","https://openalex.org/W2194775991","https://openalex.org/W2520774990","https://openalex.org/W2773170971","https://openalex.org/W2791256362","https://openalex.org/W2899622222","https://openalex.org/W2929496932","https://openalex.org/W2982145123","https://openalex.org/W2996904338","https://openalex.org/W2997350210","https://openalex.org/W3047279638","https://openalex.org/W3087110941","https://openalex.org/W3088981325","https://openalex.org/W3095910127","https://openalex.org/W3096813810","https://openalex.org/W3111389230","https://openalex.org/W3159736609","https://openalex.org/W3172135703","https://openalex.org/W3199437742","https://openalex.org/W4206467342","https://openalex.org/W4225835925","https://openalex.org/W4285741054","https://openalex.org/W4289821916","https://openalex.org/W4365420816","https://openalex.org/W4377971276","https://openalex.org/W4384519137","https://openalex.org/W4385245566","https://openalex.org/W4390659928","https://openalex.org/W4392940096","https://openalex.org/W4393207017","https://openalex.org/W6751831877","https://openalex.org/W6884758910"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2051501574","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327","https://openalex.org/W1621827506"],"abstract_inverted_index":{"The":[0,193],"Specific":[1],"Emitter":[2],"Identification":[3],"(SEI)":[4],"technology":[5],"has":[6],"broad":[7],"application":[8],"prospects":[9],"in":[10,40],"the":[11,14,41,65,79,98,104,126,131,155,170,198,202],"fields":[12],"of":[13,16,67,85,134],"Internet":[15],"Things":[17],"and":[18,21,78,124,190,209],"cognitive":[19],"communication":[20],"serves":[22],"as":[23,74],"an":[24,90],"effective":[25],"means":[26],"for":[27,60,81,143],"device":[28],"authentication.":[29],"Most":[30],"existing":[31],"SEI":[32,91],"methods":[33],"based":[34,93,153,182],"on":[35,94,154,183],"deep":[36],"learning":[37,185],"primarily":[38],"operate":[39],"real":[42],"number":[43,84],"domain.":[44],"However,":[45],"complex":[46],"numbers":[47],"naturally":[48],"represent":[49],"radio":[50,165],"frequency":[51,166],"signals,":[52,135,175],"making":[53],"complex-valued":[54,132,139,156],"neural":[55,70,141],"network(CVNN)":[56],"a":[57,82,110,115,138,149,178],"superior":[58],"choice":[59],"signal":[61,111],"representation.":[62],"To":[63],"address":[64],"limitations":[66],"traditional":[68],"real-valued":[69],"network":[71,142],"methods,":[72],"such":[73],"low":[75],"recognition":[76],"accuracy":[77,208],"requirement":[80],"large":[83],"training":[86,213],"samples,":[87],"we":[88,108,136,147,176],"propose":[89],"method":[92,200],"CVNN":[95],"to":[96,120,159],"learn":[97],"true":[99],"RF":[100,204],"fingerprint":[101,167,205],"features.":[102,168],"In":[103],"data":[105,122],"preprocessing":[106],"stage,":[107],"employ":[109,137],"slicing":[112],"strategy":[113],"with":[114,206],"random":[116],"window":[117],"step":[118],"size":[119],"enhance":[121],"randomness":[123],"improve":[125],"model\u2019s":[127],"generalization":[128],"performance.":[129],"Given":[130],"nature":[133],"convolutional":[140],"feature":[144,150],"extraction.":[145],"Subsequently,":[146],"design":[148],"fusion":[151],"module":[152],"attention":[157],"mechanism":[158],"eliminate":[160],"redundant":[161],"features":[162],"while":[163],"preserving":[164],"Considering":[169],"high":[171,207],"similarity":[172],"between":[173],"emitter":[174],"employed":[177],"joint":[179],"loss":[180],"function":[181],"metric":[184],"that":[186,197],"promotes":[187],"intra-class":[188],"aggregation":[189],"interclass":[191],"separation.":[192],"experimental":[194],"results":[195],"demonstrate":[196],"proposed":[199],"uncovers":[201],"authentic":[203],"robustness":[210],"under":[211],"limited":[212],"sample":[214],"conditions.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
