{"id":"https://openalex.org/W3186925649","doi":"https://doi.org/10.1109/ijcb52358.2021.9484345","title":"Concealable Biometric-based Continuous User Authentication System An EEG Induced Deep Learning Model","display_name":"Concealable Biometric-based Continuous User Authentication System An EEG Induced Deep Learning Model","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3186925649","doi":"https://doi.org/10.1109/ijcb52358.2021.9484345","mag":"3186925649"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb52358.2021.9484345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","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/A5087359485","display_name":"Sindhu Reddy Kalathur Gopal","orcid":null},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sindhu Reddy Kalathur Gopal","raw_affiliation_strings":["University of Wyoming, Laramie, WY"],"affiliations":[{"raw_affiliation_string":"University of Wyoming, Laramie, WY","institution_ids":["https://openalex.org/I12834331"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046965565","display_name":"Diksha Shukla","orcid":"https://orcid.org/0000-0002-3740-8793"},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diksha Shukla","raw_affiliation_strings":["University of Wyoming, Laramie, WY"],"affiliations":[{"raw_affiliation_string":"University of Wyoming, Laramie, WY","institution_ids":["https://openalex.org/I12834331"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087359485"],"corresponding_institution_ids":["https://openalex.org/I12834331"],"apc_list":null,"apc_paid":null,"fwci":0.2331,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48640022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8325357437133789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7657408714294434},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6055924296379089},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4537714421749115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3761872947216034},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3435518443584442},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2909267544746399}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8325357437133789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657408714294434},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6055924296379089},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4537714421749115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3761872947216034},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3435518443584442},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2909267544746399},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb52358.2021.9484345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","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":23,"referenced_works":["https://openalex.org/W182695033","https://openalex.org/W1556934133","https://openalex.org/W1560107318","https://openalex.org/W2004211009","https://openalex.org/W2033814892","https://openalex.org/W2063483288","https://openalex.org/W2128088507","https://openalex.org/W2136365570","https://openalex.org/W2155212360","https://openalex.org/W2416750880","https://openalex.org/W2426409465","https://openalex.org/W2494539697","https://openalex.org/W2538095230","https://openalex.org/W2548771355","https://openalex.org/W2559223397","https://openalex.org/W2566849809","https://openalex.org/W2600667434","https://openalex.org/W2933506701","https://openalex.org/W3030294612","https://openalex.org/W6607465244","https://openalex.org/W6633497745","https://openalex.org/W6683032681","https://openalex.org/W6888488074"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W3104966193"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,24,34,76,80,84,115,122,140,145,175,179],"lightweight,":[4],"low-cost,":[5,193],"easy-to-use,":[6],"and":[7,53,79,138],"unobtrusive":[8],"continuous":[9,196],"user":[10,29,126,197],"authentication":[11,20,45,127,162,198],"system":[12],"based":[13,60,96],"on":[14,40,61,97,103,144,178],"concealable":[15],"biometric":[16,58],"signals.":[17],"The":[18,44],"proposed":[19,161],"model":[21,46,128,163],"continuously":[22],"verifies":[23],"user\u2019s":[25,56,105],"identity":[26],"throughout":[27],"the":[28,55,70,98,104,133,160,190],"session":[30],"while":[31],"s/he":[32],"watches":[33],"video":[35],"or":[36],"performs":[37],"free-text":[38],"typing":[39],"his/her":[41,62],"desktop/laptop":[42],"keyboard.":[43],"utilizes":[47,132],"unobtrusively":[48],"recorded":[49],"electroencephalogram":[50],"(EEG)":[51],"signals":[52],"learns":[54],"unique":[57],"signature":[59],"brain":[63],"activity.Our":[64],"work":[65],"has":[66],"multifold":[67],"impact":[68],"in":[69],"area":[71],"of":[72,83,87,118,150,172,182,192],"EEG-based":[73,195],"authentication:":[74],"(1)":[75],"comprehensive":[77],"study":[78],"comparative":[81],"analysis":[82,143,177],"wide":[85],"range":[86],"extracted":[88],"features":[89,93],"are":[90,94],"presented.":[91],"These":[92],"categorized":[95],"EEG":[99,119,148],"electrodes":[100],"placement":[101],"position":[102],"head,":[106],"(2)":[107],"an":[108,166],"optimal":[109,135],"feature":[110,136],"subset":[111],"is":[112,129,154],"constructed":[113,134],"using":[114],"minimal":[116],"number":[117],"electrodes,":[120],"(3)":[121],"deep":[123],"neural":[124],"network-based":[125],"presented":[130],"that":[131,159],"subset,":[137],"(4)":[139],"detailed":[141],"experimental":[142,156],"publicly":[146],"available":[147],"dataset":[149],"26":[151],"volunteer":[152],"participants":[153],"presented.Our":[155],"results":[157,188],"show":[158,189],"could":[164],"achieve":[165],"average":[167],"Equal":[168],"Error":[169],"Rate":[170],"(EER)":[171],"0.137%.":[173],"Although":[174],"thorough":[176],"larger":[180],"pool":[181],"subjects":[183],"must":[184],"be":[185],"performed,":[186],"our":[187],"viability":[191],"lightweight":[194],"systems.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
