{"id":"https://openalex.org/W7125642041","doi":"https://doi.org/10.1142/s0219649226500012","title":"Securing Biometric Systems: Dual CNNs Empowered with FGSM Analysis for Fingerprint Recognition","display_name":"Securing Biometric Systems: Dual CNNs Empowered with FGSM Analysis for Fingerprint Recognition","publication_year":2026,"publication_date":"2026-01-24","ids":{"openalex":"https://openalex.org/W7125642041","doi":"https://doi.org/10.1142/s0219649226500012"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649226500012","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649226500012","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information & Knowledge Management","raw_type":"journal-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/A5123804515","display_name":"R. Sreemol","orcid":null},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Sreemol","raw_affiliation_strings":["Department of Computer Applications, Cochin University of Science and Technology, Kochi, Kerala, India"],"raw_orcid":"https://orcid.org/0000-0003-1296-9620","affiliations":[{"raw_affiliation_string":"Department of Computer Applications, Cochin University of Science and Technology, Kochi, Kerala, India","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123812572","display_name":"M. B. Santosh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. B. Santosh Kumar","raw_affiliation_strings":["Department of Information Technology, School of Engineering, Cochin University of Science and Technology, Kochi, Kerala, India"],"raw_orcid":"https://orcid.org/0000-0002-1893-8414","affiliations":[{"raw_affiliation_string":"Department of Information Technology, School of Engineering, Cochin University of Science and Technology, Kochi, Kerala, India","institution_ids":["https://openalex.org/I20497027"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022338541","display_name":"Abhinav Sreekumar","orcid":null},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Sreekumar","raw_affiliation_strings":["Department of Computer Applications, Cochin University of Science and Technology, Kochi, Kerala, India"],"raw_orcid":"https://orcid.org/0009-0005-7360-9890","affiliations":[{"raw_affiliation_string":"Department of Computer Applications, Cochin University of Science and Technology, Kochi, Kerala, India","institution_ids":["https://openalex.org/I20497027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20497027"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09620134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9696000218391418,"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":0.9696000218391418,"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/T11448","display_name":"Face recognition and analysis","score":0.006300000008195639,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.004699999932199717,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/fingerprint","display_name":"Fingerprint (computing)","score":0.6869999766349792},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.609000027179718},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5698000192642212},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5482000112533569},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5235999822616577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5060999989509583},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5044000148773193},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.49230000376701355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.852400004863739},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6869999766349792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604999899864197},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.609000027179718},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5235999822616577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5044000148773193},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4551999866962433},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.41499999165534973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38499999046325684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.350600004196167},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219649226500012","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649226500012","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information & Knowledge Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1804387256","https://openalex.org/W2000889716","https://openalex.org/W2047045640","https://openalex.org/W2137090589","https://openalex.org/W2169484788","https://openalex.org/W2560042578","https://openalex.org/W2767404105","https://openalex.org/W2791181479","https://openalex.org/W2796776408","https://openalex.org/W2801092849","https://openalex.org/W2811136374","https://openalex.org/W2897313686","https://openalex.org/W2898325432","https://openalex.org/W2919358988","https://openalex.org/W2964081183","https://openalex.org/W2971651251","https://openalex.org/W2974175365","https://openalex.org/W3015083589","https://openalex.org/W3015992554","https://openalex.org/W3043256287","https://openalex.org/W3047829320","https://openalex.org/W3069839690","https://openalex.org/W3120612975","https://openalex.org/W3133405956","https://openalex.org/W3159724562","https://openalex.org/W3171948639","https://openalex.org/W3195508803","https://openalex.org/W3201847560","https://openalex.org/W3211343272","https://openalex.org/W4223505845","https://openalex.org/W4283395382","https://openalex.org/W4285198027","https://openalex.org/W4321482415","https://openalex.org/W4366986563","https://openalex.org/W4378083946","https://openalex.org/W4382053244","https://openalex.org/W4400665062","https://openalex.org/W4405870062","https://openalex.org/W4411799110"],"related_works":[],"abstract_inverted_index":{"Biometric":[0],"systems,":[1],"particularly":[2],"fingerprint":[3,46,81,138],"recognition,":[4,47,72],"play":[5],"an":[6,36],"important":[7],"role":[8],"in":[9,111,147],"ensuring":[10],"security":[11,136],"across":[12],"various":[13,148],"domains.":[14,149],"However,":[15],"existing":[16],"systems":[17,140],"face":[18],"challenges":[19],"such":[20],"as":[21],"limited":[22],"accuracy":[23,112],"and":[24,69,99,135],"vulnerability":[25],"to":[26,77,121],"spoof":[27],"attacks.":[28,123],"To":[29],"overcome":[30],"these":[31],"challenges,":[32],"this":[33,125],"paper":[34],"introduces":[35],"optimised":[37],"dual":[38],"Convolutional":[39],"Neural":[40],"Network":[41],"(CNN)":[42],"method":[43,126],"for":[44,56,66,131],"multi-attribute":[45],"coupled":[48],"with":[49,93,113],"Fast":[50],"Gradient":[51],"Sign":[52],"Method":[53],"(FGSM)":[54],"analysis":[55,107],"adversarial":[57,122],"assessment.":[58],"The":[59],"methodology":[60],"involves":[61],"developing":[62],"separate":[63],"CNN":[64],"models":[65,89],"subject":[67,94],"ID":[68,95],"finger":[70,100],"number":[71,101],"which":[73],"are":[74],"then":[75],"combined":[76],"create":[78],"a":[79,109,128],"unified":[80],"identification":[82],"model.":[83],"Utilizing":[84],"the":[85,88,118,133],"SOCOFing":[86],"dataset,":[87],"achieve":[90],"high":[91],"accuracy,":[92],"recognition":[96,139],"reaching":[97],"99.73%":[98],"classification":[102],"achieving":[103],"99.83%.":[104],"Furthermore,":[105],"FGSM":[106],"reveals":[108],"decrease":[110],"increasing":[114],"epsilon":[115],"values,":[116],"indicating":[117],"model\u2019s":[119],"sensitivity":[120],"Overall,":[124],"shows":[127],"promising":[129],"solution":[130],"improving":[132],"performance":[134],"of":[137],"(FRSs),":[141],"thereby":[142],"advancing":[143],"biometric":[144],"authentication":[145],"technologies":[146]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-26T00:00:00"}