{"id":"https://openalex.org/W4414908342","doi":"https://doi.org/10.1109/tdsc.2025.3618910","title":"EEG-FE_rrRS: A Robust and Reusable EEG Recognition System Using Fuzzy Extractor","display_name":"EEG-FE_rrRS: A Robust and Reusable EEG Recognition System Using Fuzzy Extractor","publication_year":2025,"publication_date":"2025-10-07","ids":{"openalex":"https://openalex.org/W4414908342","doi":"https://doi.org/10.1109/tdsc.2025.3618910"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3618910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3618910","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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":null,"display_name":"Chuanxu Lin","orcid":"https://orcid.org/0009-0005-6748-1368"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuanxu Lin","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0005-6748-1368","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055827071","display_name":"Gengran Hu","orcid":"https://orcid.org/0000-0002-3061-2388"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengran Hu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3061-2388","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109031785","display_name":"Hong Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zeng","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076361787","display_name":"Ruifeng Zheng","orcid":"https://orcid.org/0000-0003-3024-1510"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Zheng","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3024-1510","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074555473","display_name":"Lin You","orcid":"https://orcid.org/0000-0003-2049-8961"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin You","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2049-8961","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26664235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"1","first_page":"1528","last_page":"1542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6161999702453613},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5903000235557556},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.512499988079071},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5091999769210815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48190000653266907},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.47269999980926514},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.4659000039100647},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4602000117301941},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.3643999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104000091552734},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6161999702453613},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5436999797821045},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.512499988079071},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5091999769210815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48190000653266907},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4602000117301941},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42239999771118164},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.3643999993801117},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3427000045776367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3337000012397766},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3052000105381012},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.2540000081062317},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2025.3618910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3618910","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4604599849","display_name":null,"funder_award_id":"61772166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2056925087","https://openalex.org/W2113412631","https://openalex.org/W2134050473","https://openalex.org/W2138474025","https://openalex.org/W2140203142","https://openalex.org/W2146813141","https://openalex.org/W2147717514","https://openalex.org/W2149094129","https://openalex.org/W2151669316","https://openalex.org/W2162006472","https://openalex.org/W2727821536","https://openalex.org/W2735454978","https://openalex.org/W2771747965","https://openalex.org/W2997639969","https://openalex.org/W3012089473","https://openalex.org/W3028241071","https://openalex.org/W3107080613","https://openalex.org/W3132382361","https://openalex.org/W3134536688","https://openalex.org/W3138187111","https://openalex.org/W3147416409","https://openalex.org/W3190078725","https://openalex.org/W4200550087","https://openalex.org/W4205558134","https://openalex.org/W4206186876","https://openalex.org/W4223474672","https://openalex.org/W4224536787","https://openalex.org/W4230797216","https://openalex.org/W4286581999","https://openalex.org/W4291034657","https://openalex.org/W4296990190","https://openalex.org/W4313120928","https://openalex.org/W4319263729","https://openalex.org/W4319999789","https://openalex.org/W4362500675","https://openalex.org/W4366084166","https://openalex.org/W4372037346","https://openalex.org/W4385627038","https://openalex.org/W4387196944","https://openalex.org/W4391924570","https://openalex.org/W4392114191","https://openalex.org/W4396917130","https://openalex.org/W4407690856"],"related_works":[],"abstract_inverted_index":{"Addressing":[0],"the":[1,4,32,36,81,85,105,112,118,125,137,141,144,158,161],"challenge":[2],"of":[3,104,114,127,140],"security":[5,103],"recognition":[6,15,30,134,138,162],"through":[7],"electroencephalogram":[8],"(EEG)":[9],"biometrics,":[10],"we":[11],"propose":[12],"an":[13,69],"EEG":[14,56,70],"system":[16,25,142],"named":[17],"EEG-FE":[18,90],"rrRS.":[19],"Leveraging":[20],"a":[21,75,92],"fuzzy":[22,51,77,107],"extractor,":[23],"this":[24],"aims":[26],"to":[27,123],"facilitate":[28],"personalized":[29],"in":[31],"scenarios":[33],"such":[34],"as":[35],"unmanned":[37],"aerial":[38],"vehicle":[39],"(UAV)":[40],"and":[41,49,61,74,84,152,168],"metaverse":[42],"that":[43],"require":[44],"human-computer":[45],"interaction.":[46],"This":[47],"robust":[48],"reusable":[50],"extractor":[52,78,108],"framework":[53],"capitalizes":[54],"on":[55,143,157],"characteristics":[57],"for":[58,99],"biometric":[59],"identification":[60],"it":[62],"can":[63,96],"be":[64,97],"divided":[65],"into":[66],"two":[67],"parts:":[68],"signal":[71],"processing":[72],"module":[73],"proprietary":[76],"scheme":[79],"containing":[80],"secure":[82],"sketch":[83],"strong":[86],"extractor.":[87],"By":[88],"employing":[89],"rrRS,":[91,129],"unique":[93],"digital":[94],"identity":[95],"established":[98],"each":[100],"user.":[101],"The":[102],"proposed":[106],"is":[109],"proved":[110],"from":[111],"perspective":[113],"entropy":[115],"loss.":[116],"Furthermore,":[117],"simulations":[119],"have":[120],"been":[121],"conducted":[122],"evaluate":[124],"performance":[126],"EEGFE":[128],"showcasing":[130],"its":[131],"highly":[132],"promising":[133],"accuracy.":[135],"Specifically,":[136],"rate":[139,163],"motor":[145],"imagery":[146],"database":[147],"has":[148,164],"reached":[149],"0.92%":[150],"FRR":[151,167],"0.08%":[153],"FAR,":[154,170],"respectively.":[155,171],"While":[156],"SEED":[159],"database,":[160],"achieved":[165],"0%":[166,169]},"counts_by_year":[],"updated_date":"2026-01-19T04:01:09.351973","created_date":"2025-10-10T00:00:00"}