{"id":"https://openalex.org/W4406238293","doi":"https://doi.org/10.1109/bibm62325.2024.10821947","title":"Don\u2019t Speak Anything: Deep Breath-Based Authentication Utilizing Sonar Signals on Smartphones","display_name":"Don\u2019t Speak Anything: Deep Breath-Based Authentication Utilizing Sonar Signals on Smartphones","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406238293","doi":"https://doi.org/10.1109/bibm62325.2024.10821947"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5109719351","display_name":"Kai\u2010Lu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailu Zheng","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024406603","display_name":"Jiefan Qiu","orcid":"https://orcid.org/0000-0003-2198-1875"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiefan Qiu","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059935141","display_name":"Dongfu Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongfu Zhu","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674381","display_name":"Xiyu Wang","orcid":"https://orcid.org/0009-0004-6441-0313"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyu Wang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622203","display_name":"Kejiang Xiao","orcid":"https://orcid.org/0000-0002-5253-806X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejiang Xiao","raw_affiliation_strings":["Central China Normal University,Faculty of Artificial Intelligence in Education,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central China Normal University,Faculty of Artificial Intelligence in Education,Wuhan,China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003078440","display_name":"Xiaofu Chen","orcid":"https://orcid.org/0009-0001-3896-4433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofu Chen","raw_affiliation_strings":["ZJUT-Aishiguang New Quality Meal Nutrition Research Institute,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJUT-Aishiguang New Quality Meal Nutrition Research Institute,Hangzhou,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38608071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2983","last_page":"2990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9790999889373779,"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"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.7228826880455017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6084154844284058},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5885868668556213},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.40597209334373474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33169305324554443}],"concepts":[{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.7228826880455017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6084154844284058},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5885868668556213},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40597209334373474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33169305324554443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2128838222","https://openalex.org/W2169559282","https://openalex.org/W2789646530","https://openalex.org/W2909265493","https://openalex.org/W2973058799","https://openalex.org/W3033234289","https://openalex.org/W3092580650","https://openalex.org/W3094253649","https://openalex.org/W3118481380","https://openalex.org/W3153665222","https://openalex.org/W4206146835","https://openalex.org/W4245660678","https://openalex.org/W4283321099","https://openalex.org/W4297883206","https://openalex.org/W4308089062","https://openalex.org/W4377966828","https://openalex.org/W4392472696","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6839862777"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3199220297","https://openalex.org/W2137769200","https://openalex.org/W2070821970","https://openalex.org/W2032962400","https://openalex.org/W2952608638","https://openalex.org/W1996172652","https://openalex.org/W2912135041"],"abstract_inverted_index":{"Benefiting":[0],"from":[1,59,183],"smartphones\u2019":[2],"powerful":[3],"computing":[4],"and":[5,35,133,155,189,215],"sensing":[6],"capabilities,":[7],"biometric":[8,22,57],"authentication":[9,48,161,171,203],"is":[10,173],"widely":[11],"used":[12],"on":[13],"them":[14,31],"to":[15,33,54,74,103,121,136,158,175],"conveniently":[16],"verify":[17,176],"user\u2019s":[18],"identity.":[19],"However,":[20],"most":[21],"features":[23,58,90,129,182],"can":[24],"be":[25],"easily":[26],"acquired":[27],"or":[28],"reproduced,":[29],"making":[30],"vulnerable":[32],"replay":[34,114,123,214],"impersonation":[36,216],"attacks.":[37,115,139,217],"To":[38,116],"address":[39],"these":[40,138],"issues,":[41],"we":[42,94,125,142],"propose":[43],"DBreathLock,":[44],"a":[45,52,96,168],"non-contact":[46],"identity":[47,160,170],"system":[49],"that":[50,199],"leverages":[51],"smartphone":[53,65],"capture":[55,75],"unique":[56],"users\u2019":[60],"deep":[61,105,186],"breaths.":[62],"Specifically,":[63],"the":[64,80,88,109,119,127,150,181],"emits":[66],"inaudible":[67],"frequency-modulated":[68],"continuous":[69],"waves":[70],"(FMCW)-based":[71],"sonar":[72],"signals":[73],"chest-abdominal-joint":[76],"(C-A-joint)":[77],"movements,":[78,93,185],"increasing":[79],"difficulty":[81],"of":[82,91,111,130,205],"impersonating":[83],"legitimate":[84,177],"users.":[85],"By":[86],"analyzing":[87],"energy":[89],"CA-joint":[92],"develop":[95],"Deep":[97],"Breath":[98],"Activity":[99],"Detection":[100],"(DBAD)":[101],"method":[102],"detect":[104],"breath":[106,156,187],"fragments":[107],"alongside":[108],"capability":[110],"resisting":[112],"advanced":[113,122,213],"further":[117],"fortify":[118],"resistance":[120],"attacks,":[124],"employ":[126],"morphological":[128],"C-A-joint":[131,153,184],"movements":[132,154],"SVC":[134],"model":[135,172],"recognize":[137],"Following":[140],"this,":[141],"construct":[143],"mutual":[144],"information":[145],"(MI)":[146],"sequences":[147],"via":[148],"calculating":[149],"correlation":[151],"between":[152],"sounds":[157],"reduce":[159],"failure":[162],"caused":[163],"by":[164,179],"physiological":[165],"changes.":[166],"Then,":[167],"multi-stream":[169],"designed":[174],"users":[178,197],"fusing":[180],"sounds,":[188],"MI":[190],"sequences.":[191],"Extensive":[192],"real-world":[193],"experiments":[194],"involving":[195],"20":[196],"demonstrate":[198],"DBreathLock":[200],"achieves":[201],"an":[202],"accuracy":[204],"98.33%.":[206],"Additionally,":[207],"it":[208],"successfully":[209],"defends":[210],"against":[211],"both":[212]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}