{"id":"https://openalex.org/W4403311368","doi":"https://doi.org/10.48084/etasr.7827","title":"Face Mask Detection using CNN: A Fusion of Cryptography and Blockchain","display_name":"Face Mask Detection using CNN: A Fusion of Cryptography and Blockchain","publication_year":2024,"publication_date":"2024-10-09","ids":{"openalex":"https://openalex.org/W4403311368","doi":"https://doi.org/10.48084/etasr.7827"},"language":"en","primary_location":{"id":"doi:10.48084/etasr.7827","doi":"https://doi.org/10.48084/etasr.7827","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.7827","pdf_url":null,"source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology &amp; Applied Science Research","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.48084/etasr.7827","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087165622","display_name":"Imen Hagui","orcid":"https://orcid.org/0009-0002-5169-034X","observed_orcids":["https://orcid.org/0009-0002-5169-034X"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Imen Hagui","raw_affiliation_strings":["Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010366842","display_name":"Amina Msolli","orcid":"https://orcid.org/0000-0003-4947-1228","observed_orcids":["https://orcid.org/0000-0003-4947-1228"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Amina Msolli","raw_affiliation_strings":["Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014507862","display_name":"Abdelhamid Helali","orcid":"https://orcid.org/0000-0002-1623-6830","observed_orcids":["https://orcid.org/0000-0002-1623-6830"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abdelhamid Helali","raw_affiliation_strings":["Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077471652","display_name":"F. Hassen","orcid":"https://orcid.org/0000-0002-3684-354X","observed_orcids":["https://orcid.org/0000-0002-3684-354X"]},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hassen Fredj","raw_affiliation_strings":["Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Micro-Optoelectronics and Nanostructures, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087165622"],"corresponding_institution_ids":["https://openalex.org/I166928557"],"apc_list":{"value":400,"currency":"EUR","value_usd":431},"apc_paid":{"value":400,"currency":"EUR","value_usd":431},"fwci":0.1849,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46858148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"14","issue":"5","first_page":"17156","last_page":"17161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.38530001044273376,"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":0.38530001044273376,"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":0.3093000054359436,"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/T11800","display_name":"User Authentication and Security Systems","score":0.23909999430179596,"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/face-mask-detection","display_name":"face mask detection","score":0.9890000224113464},{"id":"https://openalex.org/keywords/aes-encryption","display_name":"AES encryption","score":0.8949999809265137},{"id":"https://openalex.org/keywords/iot-authentication","display_name":"IoT device authentication","score":0.6190000176429749},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7889999747276306}],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.8645294904708862},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6605631113052368},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.6531506776809692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5085011720657349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49190497398376465},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47523120045661926},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4262833595275879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42232826352119446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37299686670303345},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0752842128276825},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.055124521255493164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48084/etasr.7827","doi":"https://doi.org/10.48084/etasr.7827","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.7827","pdf_url":null,"source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology &amp; Applied Science Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.48084/etasr.7827","doi":"https://doi.org/10.48084/etasr.7827","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.7827","pdf_url":null,"source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology &amp; Applied Science Research","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9"}],"sustainable_development_goals_aurora":[{"display_name":"Good health and well-being","score":0.800000011920929,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2962700793","https://openalex.org/W3045576536","https://openalex.org/W3121819577","https://openalex.org/W3186846146","https://openalex.org/W4220953170","https://openalex.org/W4234143837","https://openalex.org/W4254865636","https://openalex.org/W4312390103","https://openalex.org/W4313461186","https://openalex.org/W4321638896","https://openalex.org/W4378195117","https://openalex.org/W4381661202"],"related_works":["https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047","https://openalex.org/W4386732777","https://openalex.org/W4304136894","https://openalex.org/W2989851257","https://openalex.org/W2799059781"],"abstract_inverted_index":{"The":[0,184],"global":[1],"COVID-19":[2],"pandemic":[3],"has":[4,19],"led":[5],"to":[6,13,78,124],"an":[7,212],"urgent":[8],"need":[9],"for":[10,57,66,217],"government":[11],"intervention":[12],"prevent":[14],"its":[15,188],"spread.":[16,28],"Scientific":[17],"evidence":[18],"confirmed":[20],"the":[21,91,94,108,143,150,153,160,171,181,206],"effectiveness":[22],"of":[23,101,146],"mask-wearing":[24,81],"in":[25,33,226],"reducing":[26],"virus":[27],"However,":[29],"enforcing":[30],"mask":[31],"mandates":[32],"public":[34],"spaces":[35],"presents":[36],"notable":[37],"monitoring":[38],"hurdles,":[39],"particularly":[40],"as":[41,211],"facial":[42,55],"recognition":[43,56],"technology":[44,138],"is":[45,122],"impeded":[46],"by":[47,169],"face":[48],"coverings.":[49],"With":[50],"many":[51],"organizations":[52],"relying":[53],"on":[54],"employee":[58],"authentication,":[59],"security":[60,128],"and":[61,83,93,119,139,152,174,198,214],"authentication":[62,88,98,127,225],"become":[63],"critical,":[64],"especially":[65],"IoT":[67],"systems.":[68],"This":[69,97],"article":[70],"uses":[71],"a":[72,85,130],"Convolutional":[73],"Neural":[74],"Network":[75],"(CNN)":[76],"model":[77],"accurately":[79],"identify":[80],"individuals":[82,219],"introduces":[84],"secure":[86,144,215],"user":[87,126],"mechanism":[89,99],"between":[90,149],"node":[92,151],"access":[95,154],"point.":[96,155],"consists":[100],"three":[102],"phases.":[103],"(i)":[104],"Identification":[105],"Phase":[106,158],"at":[107,159],"Access":[109],"Point":[110],"Level:":[111,162],"A":[112,163],"novel":[113],"hybrid":[114],"biometric":[115],"pattern,":[116],"merging":[117],"password":[118,175],"image":[120,173],"features,":[121],"employed":[123],"strengthen":[125],"through":[129],"fusion":[131],"approach.":[132],"(ii)":[133],"Secure":[134],"Communication:":[135],"Utilizing":[136],"blockchain":[137],"AES":[140],"cryptography":[141],"ensures":[142],"transmission":[145],"these":[147],"patterns":[148],"(iii)":[156],"Matching":[157],"Node":[161],"newly":[164],"proposed":[165,207],"method":[166],"verifies":[167],"authenticity":[168],"comparing":[170],"combined":[172],"features":[176],"with":[177],"database":[178],"records":[179],"during":[180],"development":[182],"phase.":[183],"experimental":[185],"results":[186,203],"demonstrate":[187],"outstanding":[189],"performance,":[190],"achieving":[191],"99%":[192,194],"accuracy,":[193],"recall,":[195],"100%":[196],"precision,":[197],"98.9%":[199],"F1":[200],"score.":[201],"These":[202],"suggest":[204],"that":[205],"approach":[208],"holds":[209],"promise":[210],"effective":[213],"solution":[216],"identifying":[218],"wearing":[220],"masks":[221],"while":[222],"ensuring":[223],"reliable":[224],"various":[227],"environments.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}
