{"id":"https://openalex.org/W2946757722","doi":"https://doi.org/10.1109/icoin.2019.8718118","title":"Binarized Multi-Factor Cognitive Detection of Bio-Modality Spoofing in Fog Based Medical Cyber-Physical System","display_name":"Binarized Multi-Factor Cognitive Detection of Bio-Modality Spoofing in Fog Based Medical Cyber-Physical System","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946757722","doi":"https://doi.org/10.1109/icoin.2019.8718118","mag":"2946757722"},"language":"en","primary_location":{"id":"doi:10.1109/icoin.2019.8718118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin.2019.8718118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information Networking (ICOIN)","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":false,"raw_author_name":"Nishat I Mowla","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Ewha Womans University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. 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":["Dept. of Cyber Security, Ewha Womans Univesity, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Cyber Security, Ewha Womans Univesity, 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":["Dept. of Computer Science and Engineering, Ewha Womans University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. 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":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5007,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6236533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9943000078201294,"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":0.9519000053405762,"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":0.7998018860816956},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.7279015779495239},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6711145043373108},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6290625333786011},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6264471411705017},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5453287363052368},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5372758507728577},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45426174998283386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4475539028644562},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.4288432002067566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37399572134017944},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.254512220621109},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09618014097213745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7998018860816956},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7279015779495239},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6711145043373108},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6290625333786011},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6264471411705017},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5453287363052368},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5372758507728577},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45426174998283386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475539028644562},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.4288432002067566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37399572134017944},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.254512220621109},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09618014097213745},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin.2019.8718118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin.2019.8718118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W10697079","https://openalex.org/W180277623","https://openalex.org/W189640523","https://openalex.org/W1584545576","https://openalex.org/W1934184906","https://openalex.org/W1974019064","https://openalex.org/W1992358283","https://openalex.org/W1996664229","https://openalex.org/W2008159608","https://openalex.org/W2011475289","https://openalex.org/W2033814892","https://openalex.org/W2047671678","https://openalex.org/W2090826149","https://openalex.org/W2107227001","https://openalex.org/W2136975665","https://openalex.org/W2163487272","https://openalex.org/W2168573734","https://openalex.org/W2342649568","https://openalex.org/W2344510388","https://openalex.org/W2659076613","https://openalex.org/W3099514111","https://openalex.org/W4238544449","https://openalex.org/W4247618650","https://openalex.org/W6684314024","https://openalex.org/W6749966671"],"related_works":["https://openalex.org/W2188559950","https://openalex.org/W2989910292","https://openalex.org/W2998478967","https://openalex.org/W3128793638","https://openalex.org/W2123299109","https://openalex.org/W2021230337","https://openalex.org/W2281508611","https://openalex.org/W2020816142","https://openalex.org/W4233349824","https://openalex.org/W4200422973"],"abstract_inverted_index":{"Bio-modalities":[0],"are":[1,20,51,66,74,84],"ideal":[2],"for":[3,23,77,111,181,190],"user":[4,25],"authentication":[5,191],"in":[6,57,90,101,127,192],"Medical":[7,92],"Cyber-Physical":[8,93],"Systems.":[9],"Various":[10],"forms":[11],"of":[12,53],"bio-modalities,":[13],"such":[14],"as":[15,144],"the":[16,54,62,91,148,172,207],"face,":[17,182],"iris,":[18],"fingerprint,":[19],"commonly":[21],"used":[22,56,189],"secure":[24],"authentication.":[26],"Concurrently,":[27],"various":[28],"spoofing":[29,58,126,187],"approaches":[30],"have":[31],"also":[32],"been":[33],"developed":[34],"over":[35,206],"time":[36],"which":[37],"can":[38,105],"fail":[39],"traditional":[40],"bio-modality":[41,63,125],"detection":[42,64,72,188],"systems.":[43],"Image":[44],"synthesis":[45],"with":[46,108,160],"play-doh,":[47],"gelatin,":[48],"ecoflex":[49],"etc.":[50],"some":[52],"ways":[55],"bio-identifiable":[59],"property.":[60],"Since":[61],"sensors":[65,104],"small":[67],"and":[68,114,176,184],"resource":[69],"constrained,":[70],"heavy-weight":[71],"mechanisms":[73],"not":[75],"suitable":[76],"these":[78,102],"sensors.":[79],"Recently,":[80],"Fog":[81,129],"based":[82,130,140],"architectures":[83],"proposed":[85],"to":[86,123],"support":[87],"sensor":[88],"management":[89,113],"Systems":[94],"(MCPS).":[95],"A":[96],"thin":[97],"software":[98],"client":[99],"running":[100],"resource-constrained":[103],"enable":[106],"communication":[107],"fog":[109,149],"nodes":[110],"better":[112],"analysis.":[115],"Therefore,":[116],"we":[117,135],"propose":[118,136],"a":[119,128,137,152],"fog-based":[120],"security":[121,141],"application":[122,146],"detect":[124],"MCPS.":[131,194],"In":[132],"this":[133],"regard,":[134],"machine":[138],"learning":[139],"algorithm":[142,158],"run":[143],"an":[145,193],"at":[147],"node":[150],"using":[151],"binarized":[153],"multi-factor":[154],"boosted":[155],"ensemble":[156],"learner":[157],"coupled":[159],"feature":[161],"selection.":[162],"Our":[163],"proposal":[164],"is":[165],"verified":[166],"on":[167],"real":[168],"datasets":[169],"provided":[170],"by":[171],"Replay":[173],"Attack,":[174],"Warsaw":[175],"LiveDet":[177],"2015":[178],"Crossmatch":[179],"benchmark":[180],"iris":[183],"fingerprint":[185],"modality":[186],"The":[195],"experimental":[196],"analysis":[197],"shows":[198],"that":[199],"our":[200],"approach":[201],"achieves":[202],"significant":[203],"performance":[204],"gain":[205],"state-of-the-art":[208],"approaches.":[209]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
