{"id":457285,"date":"2024-07-31T10:33:50","date_gmt":"2024-07-31T08:33:50","guid":{"rendered":"https:\/\/www.eenewseurope.com\/?p=457285"},"modified":"2024-07-31T10:35:17","modified_gmt":"2024-07-31T08:35:17","slug":"utilisation-de-lia-pour-pirater-des-ecrans-par-le-biais-demissions-hdmi","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/utilisation-de-lia-pour-pirater-des-ecrans-par-le-biais-demissions-hdmi\/","title":{"rendered":"Utilisation de l’IA pour pirater des \u00e9crans par le biais d’\u00e9missions HDMI"},"content":{"rendered":"

Des chercheurs am\u00e9ricains ont utilis\u00e9 l’apprentissage profond pour recr\u00e9er des \u00e9crans vid\u00e9o num\u00e9riques \u00e0 partir des \u00e9missions des c\u00e2bles HDMI.<\/span><\/h3>\n

L’\u00e9quipe de l’universit\u00e9 de Cornell a analys\u00e9 les ondes \u00e9lectromagn\u00e9tiques qui \u00e9manent involontairement des c\u00e2bles et des connecteurs, notamment HDMI.<\/p>\n

Par rapport au mode analogique (VGA), le mode num\u00e9rique est plus difficile en raison d’un codage 10 bits en HDMI<\/a> qui se traduit par une bande passante beaucoup plus large et une conversion non lin\u00e9aire entre le signal observ\u00e9 et l’intensit\u00e9 du pixel. Par cons\u00e9quent, les syst\u00e8mes d’\u00e9coute con\u00e7us pour le mode analogique obtiennent des images peu claires et difficiles \u00e0 lire lorsqu’ils sont appliqu\u00e9s \u00e0 la vid\u00e9o num\u00e9rique.<\/p>\n

L’\u00e9quipe a red\u00e9fini le probl\u00e8me en un probl\u00e8me inverse et a con\u00e7u un module d’apprentissage profond pour cartographier le signal \u00e9lectromagn\u00e9tique observ\u00e9 en fonction de l’image affich\u00e9e. Le syst\u00e8me propos\u00e9 est bas\u00e9 sur une technologie logicielle largement disponible appel\u00e9e TempestSDR\u00a0 enti\u00e8rement open-source, int\u00e9gr\u00e9e de mani\u00e8re transparente dans le cadre populaire de GNU Radiocom.<\/p>\n

Cette approche n\u00e9cessite toujours une analyse math\u00e9matique d\u00e9taill\u00e9e du signal, d’abord pour d\u00e9terminer la fr\u00e9quence \u00e0 laquelle op\u00e9rer, mais aussi pour produire des \u00e9chantillons d’entra\u00eenement. Cela permet de gagner du temps et d’\u00e9viter d’avoir \u00e0 obtenir ces \u00e9chantillons, surtout si plusieurs configurations sont envisag\u00e9es.<\/p>\n

L’\u00e9quipe travaille \u00e0 l’am\u00e9lioration du taux moyen d’erreurs de caract\u00e8res dans le texte, et le syst\u00e8me actuel am\u00e9liore ce taux de plus de 60 points de pourcentage par rapport aux pr\u00e9c\u00e9dentes impl\u00e9mentations disponibles.<\/p>\n

Ils ont partag\u00e9 l’ensemble de donn\u00e9es que nous avons g\u00e9n\u00e9r\u00e9 pour la simulation, qui comprend \u00e0 la fois des captures simul\u00e9es et plus de 1000 captures r\u00e9elles, et ils cherchent \u00e9galement des contre-mesures pour minimiser le risque potentiel d’\u00eatre capt\u00e9 par des syst\u00e8mes con\u00e7us sur la base de principes similaires.<\/p>\n

www.cornell.edu ;<\/a> https:\/\/arxiv.org\/abs\/2407.09717<\/a><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Des chercheurs am\u00e9ricains ont utilis\u00e9 l’apprentissage profond pour recr\u00e9er des \u00e9crans vid\u00e9o num\u00e9riques \u00e0 partir des \u00e9missions des c\u00e2bles HDMI. L’\u00e9quipe de l’universit\u00e9 de Cornell a analys\u00e9 les ondes \u00e9lectromagn\u00e9tiques qui \u00e9manent involontairement des c\u00e2bles et des connecteurs, notamment HDMI. Par rapport au mode analogique (VGA), le mode num\u00e9rique est plus difficile en raison d’un […]<\/p>\n","protected":false},"author":11,"featured_media":457283,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[],"domains":[47],"ppma_author":[3640,1143],"class_list":["post-457285","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","domains-electronique-eci"],"acf":[],"yoast_head":"Utilisation de l'IA pour pirater des \u00e9crans par le biais d'\u00e9m...<\/title>\n<meta name=\"description\" content=\"analys\u00e9 les interf\u00e9rences \u00e9lectromagn\u00e9tiques qui \u00e9manent involontairement des c\u00e2bles et des connecteurs, notamment HDMI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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