{"id":"https://openalex.org/W2942571541","doi":"https://doi.org/10.23919/icact.2019.8701916","title":"SEFL: Selective Ensemble Fuzzy Learner for Cognitive Detection of Bio-Modality Spoofing in MCPS","display_name":"SEFL: Selective Ensemble Fuzzy Learner for Cognitive Detection of Bio-Modality Spoofing in MCPS","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2942571541","doi":"https://doi.org/10.23919/icact.2019.8701916","mag":"2942571541"},"language":"en","primary_location":{"id":"doi:10.23919/icact.2019.8701916","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2019.8701916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","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/A5077200778","display_name":"Nishat I Mowla","orcid":"https://orcid.org/0000-0002-3687-6755"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nishat I Mowla","raw_affiliation_strings":["Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025644339","display_name":"Inshil Doh","orcid":"https://orcid.org/0000-0003-2814-2070"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inshil Doh","raw_affiliation_strings":["Department of Cyber Security, Ewha Womans University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Cyber Security, Ewha Womans University, Seoul, Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030248227","display_name":"Kijoon Chae","orcid":"https://orcid.org/0000-0002-6045-5192"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijoon Chae","raw_affiliation_strings":["Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea","institution_ids":["https://openalex.org/I138925566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077200778"],"corresponding_institution_ids":["https://openalex.org/I138925566"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03154535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1153","last_page":"1158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9919000267982483,"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/T11448","display_name":"Face recognition and analysis","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7712262868881226},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.7686455249786377},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7016322612762451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899553894996643},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5829154253005981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5362908244132996},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5241301655769348},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4811885952949524},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.46308618783950806},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4621274173259735},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44954532384872437},{"id":"https://openalex.org/keywords/liveness","display_name":"Liveness","score":0.4336472153663635},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19509324431419373},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18144118785858154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7712262868881226},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7686455249786377},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7016322612762451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899553894996643},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5829154253005981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5362908244132996},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5241301655769348},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4811885952949524},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.46308618783950806},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4621274173259735},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44954532384872437},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.4336472153663635},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19509324431419373},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18144118785858154},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact.2019.8701916","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2019.8701916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W10697079","https://openalex.org/W153732212","https://openalex.org/W1502160187","https://openalex.org/W1534776754","https://openalex.org/W1551947943","https://openalex.org/W1856525733","https://openalex.org/W1934184906","https://openalex.org/W1957019456","https://openalex.org/W1967053725","https://openalex.org/W1974019064","https://openalex.org/W1992358283","https://openalex.org/W2000889716","https://openalex.org/W2008159608","https://openalex.org/W2011475289","https://openalex.org/W2014915963","https://openalex.org/W2024178148","https://openalex.org/W2033814892","https://openalex.org/W2047671678","https://openalex.org/W2068779413","https://openalex.org/W2083231836","https://openalex.org/W2090826149","https://openalex.org/W2123625324","https://openalex.org/W2136975665","https://openalex.org/W2151270693","https://openalex.org/W2159907681","https://openalex.org/W2171193634","https://openalex.org/W2535485187","https://openalex.org/W2535781533","https://openalex.org/W2545511150","https://openalex.org/W3101824741","https://openalex.org/W4238544449","https://openalex.org/W4247618650","https://openalex.org/W4285719527","https://openalex.org/W6606248608","https://openalex.org/W6630005630","https://openalex.org/W6633150018","https://openalex.org/W6641024217","https://openalex.org/W6678326819","https://openalex.org/W6749966671"],"related_works":["https://openalex.org/W2533239677","https://openalex.org/W2140593870","https://openalex.org/W4389545061","https://openalex.org/W3126377002","https://openalex.org/W2903861076","https://openalex.org/W2604576816","https://openalex.org/W2729608596","https://openalex.org/W2913345013","https://openalex.org/W2900020547","https://openalex.org/W2020816142"],"abstract_inverted_index":{"User":[0],"authentication":[1],"in":[2,127],"a":[3,114,124,141,170],"Medical":[4],"Cyber":[5],"Physical":[6],"Systems":[7],"(MCPS)":[8],"can":[9,130],"be":[10,108,136],"effectively":[11],"done":[12],"using":[13,163,176],"biometric":[14,57],"features.":[15],"Biometric":[16,32],"features,":[17,33],"widely":[18],"used":[19,41],"for":[20,86,103,195],"user":[21],"authentication,":[22],"are":[23,39,49,79,94],"equally":[24],"important":[25],"to":[26,96,135,153,188],"national":[27],"and":[28,47,138,156,181,185,204,209],"global":[29],"technology":[30],"systems.":[31],"such":[34],"as":[35],"face,":[36],"iris,":[37],"fingerprint,":[38],"commonly":[40],"while":[42],"more":[43,83],"recently":[44],"palm,":[45],"vein":[46],"gait":[48],"also":[50,64],"getting":[51],"attention.":[52],"To":[53],"fail":[54],"the":[55,82,128,132,167,190,207],"traditional":[56,91],"detection":[58,92,191],"systems,":[59],"various":[60,70],"spoofing":[61,87,194],"approaches":[62,162],"have":[63],"been":[65],"developed":[66],"over":[67],"time.":[68],"Among":[69],"methods,":[71],"image":[72],"synthesis":[73],"with":[74,159],"play-doh,":[75],"gelatin,":[76],"ecoflex":[77],"etc.":[78],"some":[80],"of":[81,90,147,183,192],"common":[84],"ways":[85],"bio-modalities.":[88],"Success":[89],"systems":[93],"related":[95],"custom":[97],"tailored":[98],"solutions":[99],"where":[100],"feature":[101,179],"engineering":[102],"each":[104],"attack":[105,121,129],"type":[106],"must":[107],"developed.":[109],"However,":[110],"this":[111,151],"is":[112],"not":[113],"feasible":[115],"process":[116],"when":[117],"we":[118],"consider":[119],"countless":[120],"possibilities.":[122],"Also,":[123],"slight":[125],"change":[126],"cause":[131],"whole":[133],"system":[134],"redesigned":[137],"therefore":[139],"becomes":[140],"limiting":[142],"constraint.":[143],"The":[144],"recent":[145],"success":[146],"machine":[148],"learning":[149,161],"inspires":[150],"paper":[152,168],"explore":[154],"weak":[155,184],"strong":[157,186],"learners":[158,187],"ensemble":[160,172],"AdaBoost.":[164],"In":[165],"essence,":[166],"proposes":[169],"selective":[171],"fuzzy":[173],"learner":[174],"approach":[175],"Ada":[177],"Boost,":[178],"selection":[180],"combination":[182],"enhance":[189],"bio-modality":[193],"MCPS.":[196],"Our":[197],"proposal":[198],"was":[199],"experimented":[200],"on":[201,206],"real":[202],"datasets":[203],"verified":[205],"fingerprint":[208],"iris":[210],"benchmark.":[211]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}