{"id":9149,"date":"2021-05-20T06:32:29","date_gmt":"2021-05-20T06:32:29","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=9149"},"modified":"2021-09-30T12:07:24","modified_gmt":"2021-09-30T12:07:24","slug":"khaled-nagaty-fraud-prevention-in-e-passports-using-fuzzy-vault","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/fr\/khaled-nagaty-fraud-prevention-in-e-passports-using-fuzzy-vault\/","title":{"rendered":"Khaled Nagaty : Pr\u00e9vention de la fraude dans les passeports \u00e9lectroniques \u00e0 l'aide d'une vo\u00fbte floue.\u00a0"},"content":{"rendered":"<p><b>Incorporation de la biom\u00e9trie de l'iris, des empreintes digitales et du visage pour la pr\u00e9vention de la fraude dans les passeports \u00e9lectroniques<\/b><b>\u00a0 <\/b><b>Utilisation de Fuzzy Vault<\/b><b>\u00a0<\/b><\/p>\n<blockquote><p><strong>Les auteurs :<\/strong><br \/>\n<a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/khaled-nagaty\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=Khaled-Nagaty-Showcase\">Dr. Khaled A. Nagaty<\/a><br \/>\nProfesseur d'informatique et directeur de l'apprentissage en ligne \u00e0 l'universit\u00e9 britannique d'\u00c9gypte.<br \/>\n<strong>Dr. Katarzyna Bobkowska<br \/>\n<\/strong>Professeur adjoint au d\u00e9partement de g\u00e9od\u00e9sie de la facult\u00e9 de g\u00e9nie civil et environnemental de l'universit\u00e9 de technologie de Gdansk, Gdansk, Pologne.<br \/>\n<strong>Dr. Marek Przyborski <sup><br \/>\n<\/sup><\/strong>Professeur au d\u00e9partement de g\u00e9od\u00e9sie de la facult\u00e9 de g\u00e9nie civil et environnemental de l'universit\u00e9 de technologie de Gdansk, Gdansk, Pologne.<\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\">Un cadre unifi\u00e9 qui fournit un niveau de s\u00e9curit\u00e9 plus \u00e9lev\u00e9 aux passeports \u00e9lectroniques est propos\u00e9. Ce cadre int\u00e8gre les images du visage, de l'iris et des empreintes digitales. Il comporte trois couches de s\u00e9curit\u00e9 : la premi\u00e8re couche fait correspondre une image biom\u00e9trique \u00e0 une autre image biom\u00e9trique appel\u00e9e image biost\u00e9ro. Trois sch\u00e9mas de mise en correspondance sont propos\u00e9s : le premier sch\u00e9ma met en correspondance une image biom\u00e9trique unique avec une image biost\u00e9go unique, le deuxi\u00e8me sch\u00e9ma met en correspondance deux images biom\u00e9triques avec une image biost\u00e9go unique, le troisi\u00e8me sch\u00e9ma divise l'image biom\u00e9trique en sections et met en correspondance chaque section avec une image biost\u00e9go diff\u00e9rente. Une fonction de mappage fait correspondre la valeur d'intensit\u00e9 de chaque pixel de l'image biom\u00e9trique \u00e0 des pixels de m\u00eame intensit\u00e9 dans l'image biost\u00e9go. Un pixel repr\u00e9sentatif est choisi au hasard dans l'ensemble des pixels, et ses coordonn\u00e9es sont enregistr\u00e9es dans la carte de localisation de l'image biom\u00e9trique. Dans la deuxi\u00e8me couche, la carte de localisation est cod\u00e9e en utilisant la vo\u00fbte floue de l'empreinte digitale. Dans la troisi\u00e8me couche, la carte de localisation cod\u00e9e est cach\u00e9e dans l'image biom\u00e9trique \u00e0 l'aide d'une technique de st\u00e9ganographie. L'image biost\u00e9go qui contient la carte de localisation cod\u00e9e est stock\u00e9e dans la m\u00e9moire du passeport \u00e9lectronique. En gardant le sch\u00e9ma de cartographie secret et en utilisant la chambre forte floue des empreintes digitales pour crypter la carte de localisation, l'approche propos\u00e9e fournit un niveau plus \u00e9lev\u00e9 de protection contre la fraude.<\/span><\/p>\n<p>Lien vers l'article publi\u00e9 : <a href=\"https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/epdf\/10.1049\/iet-ipr.2019.0072\">https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/epdf\/10.1049\/iet-ipr.2019.0072<\/a><\/p>\n<p><strong>A propos de l'auteur<\/strong><\/p>\n<p><a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/khaled-nagaty\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=Khaled-Nagaty-Showcase\"><img decoding=\"async\" loading=\"lazy\" class=\"alignleft wp-image-9150\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2021\/05\/Prof.-Nagatyl_PHOTO-2020-06-05-22-18-31.jpg\" alt=\"\" width=\"278\" height=\"349\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2021\/05\/Prof.-Nagatyl_PHOTO-2020-06-05-22-18-31.jpg 716w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2021\/05\/Prof.-Nagatyl_PHOTO-2020-06-05-22-18-31-239x300.jpg 239w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2021\/05\/Prof.-Nagatyl_PHOTO-2020-06-05-22-18-31-10x12.jpg 10w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2021\/05\/Prof.-Nagatyl_PHOTO-2020-06-05-22-18-31-239x300@2x.jpg 478w\" sizes=\"(max-width: 278px) 100vw, 278px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/khaled-nagaty\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=Khaled-Nagaty-Showcase\">Dr. Khaled A. Nagaty<\/a> est professeur d'informatique et directeur de l'apprentissage en ligne \u00e0 l'universit\u00e9 britannique d'\u00c9gypte. Le professeur Nagaty a publi\u00e9 plus de 40 articles sur diff\u00e9rents sujets, notamment l'informatique en nuage, la biom\u00e9trie, la bioinformatique, la st\u00e9ganographie, le traitement des images et le commerce \u00e9lectronique. Il est r\u00e9viseur dans de nombreuses revues scientifiques et conf\u00e9rences internationales, notamment : IET Biometrics, IEEE Transactions on Cloud Computing, IEEE Transactions on Signal Processing, et plus encore. Son doctorat en informatique a \u00e9t\u00e9 publi\u00e9 sous la forme d'un livre imprim\u00e9 par Lap Lambert en Allemagne, en 2012.  Il a supervis\u00e9 des m\u00e9moires de ma\u00eetrise dans les domaines de la reconnaissance des visages, de la recherche d'images sur la base du contenu, du raisonnement sur la base de cas, des algorithmes g\u00e9n\u00e9tiques et de la st\u00e9ganographie ADN. Actuellement, il est professeur permanent au BUE en Egypte.<\/p>","protected":false},"excerpt":{"rendered":"<p>Incorporation de la biom\u00e9trie de l'iris, des empreintes digitales et du visage pour la pr\u00e9vention de la fraude dans les passeports \u00e9lectroniques \u00e0 l'aide de la vo\u00fbte floue Auteurs : Dr. Khaled A. Nagaty Professeur d'informatique et directeur de l'apprentissage en ligne \u00e0 l'Universit\u00e9 britannique d'\u00c9gypte. Katarzyna Bobkowska, professeur adjoint au d\u00e9partement de g\u00e9od\u00e9sie de la facult\u00e9 de g\u00e9nie civil et environnemental de l'universit\u00e9 de technologie de Gdansk,<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/fr\/khaled-nagaty-fraud-prevention-in-e-passports-using-fuzzy-vault\/\" title=\"Lire la suite\">Lire la suite<\/a><\/div>","protected":false},"author":12,"featured_media":9151,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[662,661],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Khaled Nagaty: Fraud Prevention in e-Passports\u00a0Using Fuzzy Vault\u00a0<\/title>\n<meta name=\"description\" content=\"Incorporating Iris, Fingerprint and Face Biometric for Fraud Prevention in e-Passports\u00a0 Using Fuzzy Vault by Prof. Khaled 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