{"id":"https://openalex.org/W4377989128","doi":"https://doi.org/10.1145/3599727","title":"SearchAuth: Neural Architecture Search-based Continuous Authentication Using Auto Augmentation Search","display_name":"SearchAuth: Neural Architecture Search-based Continuous Authentication Using Auto Augmentation Search","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4377989128","doi":"https://doi.org/10.1145/3599727"},"language":"en","primary_location":{"id":"doi:10.1145/3599727","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3599727","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3599727","source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3599727","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100754583","display_name":"Yantao Li","orcid":"https://orcid.org/0000-0001-7648-5671"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yantao Li","raw_affiliation_strings":["Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0001-7648-5671","affiliations":[{"raw_affiliation_string":"Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090910306","display_name":"Jiaxing Luo","orcid":"https://orcid.org/0000-0002-7356-5526"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Luo","raw_affiliation_strings":["Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-7356-5526","affiliations":[{"raw_affiliation_string":"Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013999580","display_name":"Shaojiang Deng","orcid":"https://orcid.org/0000-0003-1246-7399"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojiang Deng","raw_affiliation_strings":["Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0003-1246-7399","affiliations":[{"raw_affiliation_string":"Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054814122","display_name":"Gang Zhou","orcid":"https://orcid.org/0000-0002-4425-9837"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Zhou","raw_affiliation_strings":["Department of Computer Science, William &amp; Mary, USA"],"raw_orcid":"https://orcid.org/0000-0002-4425-9837","affiliations":[{"raw_affiliation_string":"Department of Computer Science, William &amp; Mary, USA","institution_ids":["https://openalex.org/I16285277"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8015,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9514471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"19","issue":"4","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9962999820709229,"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/T10828","display_name":"Biometric Identification and Security","score":0.9901999831199646,"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/computer-science","display_name":"Computer science","score":0.8707684278488159},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6535513401031494},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5802848935127258},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5608998537063599},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5225488543510437},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5203185081481934},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5179409384727478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44243723154067993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35983675718307495},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3582969307899475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3444315791130066},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19801738858222961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8707684278488159},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6535513401031494},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5802848935127258},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5608998537063599},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5225488543510437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5203185081481934},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5179409384727478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44243723154067993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35983675718307495},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3582969307899475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3444315791130066},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19801738858222961},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3599727","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3599727","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3599727","source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3599727","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3599727","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3599727","source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6458999915","display_name":"\u57fa\u4e8e\u884c\u4e3a\u7279\u5f81\u7684\u79fb\u52a8\u7528\u6237\u6301\u7eed\u8ba4\u8bc1\u65b9\u6cd5\u548c\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62072061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6534755139","display_name":null,"funder_award_id":"2021CDJQY-026","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377989128.pdf","grobid_xml":"https://content.openalex.org/works/W4377989128.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1483327747","https://openalex.org/W1966345275","https://openalex.org/W2073974709","https://openalex.org/W2079259462","https://openalex.org/W2135074440","https://openalex.org/W2144182447","https://openalex.org/W2151854612","https://openalex.org/W2194775991","https://openalex.org/W2218132318","https://openalex.org/W2538793708","https://openalex.org/W2553303224","https://openalex.org/W2575585029","https://openalex.org/W2603253565","https://openalex.org/W2620664872","https://openalex.org/W2742615025","https://openalex.org/W2752782242","https://openalex.org/W2805396670","https://openalex.org/W2807869636","https://openalex.org/W2810022200","https://openalex.org/W2883780447","https://openalex.org/W2898050070","https://openalex.org/W2902985761","https://openalex.org/W2949736877","https://openalex.org/W2963163009","https://openalex.org/W2964081807","https://openalex.org/W2982083293","https://openalex.org/W3008580541","https://openalex.org/W3083097811","https://openalex.org/W3083255269","https://openalex.org/W3101667008","https://openalex.org/W3132400026","https://openalex.org/W3140428646","https://openalex.org/W3143304050","https://openalex.org/W3143835353","https://openalex.org/W3198320297","https://openalex.org/W3199977483","https://openalex.org/W3208964527","https://openalex.org/W4251945480","https://openalex.org/W4293211772"],"related_works":["https://openalex.org/W175283455","https://openalex.org/W2766521957","https://openalex.org/W2985018002","https://openalex.org/W4210276014","https://openalex.org/W2911055337","https://openalex.org/W2984937943","https://openalex.org/W4383069059","https://openalex.org/W4308097981","https://openalex.org/W2287887375","https://openalex.org/W2997884855"],"abstract_inverted_index":{"Mobile":[0],"devices":[1,23],"have":[2],"been":[3],"playing":[4],"significant":[5],"roles":[6],"in":[7],"our":[8,234],"daily":[9],"lives,":[10],"which":[11],"has":[12],"made":[13],"device":[14],"security":[15],"and":[16,27,61,86,107,125,180,189,210,244,266],"privacy":[17],"protection":[18],"extremely":[19],"important.":[20],"These":[21],"mobile":[22],"storing":[24],"user":[25,33,217,221,227],"sensitive":[26],"private":[28],"information,":[29],"therefore,":[30],"need":[31],"rigorous":[32],"authentication":[34,45,108,203,254],"mechanisms.":[35],"In":[36,110,168,201],"this":[37],"article,":[38],"we":[39,114,172,236],"present":[40],"SearchAuth,":[41,243],"a":[42,50,219,230],"novel":[43],"continuous":[44],"system":[46],"on":[47,88,118,134,233,270],"smartphones":[48,89],"exploiting":[49],"neural":[51],"architecture":[52,60,132],"search":[53,65,137],"(NAS)":[54],"to":[55,67,90,127,178],"find":[56,128],"an":[57,62,129,223],"optimal":[58,72,130,141],"network":[59,73,131,142],"auto":[63],"augmentation":[64,79,152],"(AAS)":[66],"more":[68,158],"effectively":[69,159],"train":[70,190],"the":[71,76,83,102,111,116,122,135,140,147,151,154,161,169,174,185,191,199,202,206,215,226,238,241,245,252,258,271],"along":[74],"with":[75,194,205,274],"best":[77,259],"data":[78,120,156],"policies,":[80],"by":[81,198,256],"leveraging":[82],"accelerometer,":[84,123],"gyroscope,":[85,124],"magnetometer":[87,126],"capture":[91],"users\u2019":[92],"behavioral":[93],"patterns.":[94],"Specifically,":[95],"SearchAuth":[96,213,250],"consists":[97],"of":[98,121,153,240,261,264,268,277],"three":[99],"stages,":[100],"i.e.,":[101],"offline":[103,112],"stage,":[104,106,113,171,204],"registration":[105,170],"stage.":[109],"utilize":[115],"NAS":[117],"sensor":[119],"based":[133],"designed":[136],"space.":[138],"With":[139],"architecture,":[143],"namely,":[144],"NAS-based":[145,176,208],"model,":[146],"AAS":[148],"automatically":[149],"optimizes":[150],"input":[155],"for":[157,165],"training":[160],"model":[162,177,209],"that":[163,249],"is":[164],"feature":[166],"extraction.":[167],"use":[173],"trained":[175],"learn":[179],"extract":[181],"deep":[182],"features":[183,196],"from":[184],"legitimate":[186,220],"user\u2019s":[187],"data,":[188],"LOF":[192,211,272],"classifier":[193,273],"55":[195],"selected":[197],"PCA.":[200],"well-trained":[207],"classifier,":[212],"identifies":[214],"current":[216],"as":[218],"or":[222],"impostor":[224],"when":[225],"starts":[228],"operating":[229],"smartphone.":[231],"Based":[232],"dataset,":[235],"evaluate":[237],"performance":[239],"proposed":[242],"experimental":[246],"results":[247],"demonstrate":[248],"surpasses":[251],"representative":[253],"schemes":[255],"achieving":[257],"accuracy":[260],"93.95%,":[262],"F1-score":[263],"94.30%,":[265],"EER":[267],"5.30%":[269],"dataset":[275],"size":[276],"100.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
