{"id":8368,"date":"2026-11-11T11:35:00","date_gmt":"2026-11-11T10:35:00","guid":{"rendered":"https:\/\/viva.racunalniske-novice.com\/kako-ui-bere-besedilo-prek-elektromagnetnega-sevanja-kablov-hdmi\/"},"modified":"2026-11-11T11:35:00","modified_gmt":"2026-11-11T10:35:00","slug":"kako-ui-bere-besedilo-prek-elektromagnetnega-sevanja-kablov-hdmi","status":"publish","type":"post","link":"https:\/\/viva.racunalniske-novice.com\/hr\/kako-korisnicko-sucelje-cita-tekst-putem-elektromagnetskog-zracenja-iz-hdmi-kabela\/","title":{"rendered":"Kako umjetna inteligencija \u010dita tekst putem elektromagnetskog zra\u010denja HDMI kabela"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Novi pristup rje\u0161ava dugogodi\u0161nju prepreku snimanju digitalnih video signala, koji su se smatrali previ\u0161e slo\u017eenima za pouzdanu rekonstrukciju zbog njihovog 10-bitnog kodiranja i nelinearnih svojstava. Istra\u017eiva\u010di su stoga problem postavili kao inverzni zadatak i razvili model dubokog u\u010denja temeljen na DRUNet arhitekturi. Pretvara elektromagnetske signale natrag u vizualnu sliku. Jo\u0161 jedna va\u017ena prednost sustava je ta \u0161to ne zahtijeva slo\u017eena fizi\u010dka mjerenja za svaku konfiguraciju, jer koristi matemati\u010dku analizu i stvara vlastite obrasce u\u010denja.<br><br>U usporedbi sa starijim metodama, koje su imale stopu pogre\u0161aka do 90 posto, novi sustav to smanjuje na manje od 30 posto. Unato\u010d zna\u010dajnom napretku, rezultati su daleko od savr\u0161enih, jer rekonstruirani tekst jo\u0161 uvijek sadr\u017ei zna\u010dajnu koli\u010dinu pogre\u0161aka. To trenutno ograni\u010dava mogu\u0107nost izravne zlonamjerne upotrebe u praksi. Tehnologija radi s uobi\u010dajeno dostupnim hardverom za softverski definirani radio i pro\u0161irenjem za GNU Radio. Istra\u017eiva\u010di su tako\u0111er javno objavili izvorni kod i bazu podataka od pribli\u017eno 7 gigabajta.<br><br>Otkri\u0107e nedvojbeno ponovno otvara pitanje sigurnosti ekrana i elektromagnetskog curenja podataka. Kako bi se smanjio rizik, stru\u010dnjaci preporu\u010duju kori\u0161tenje odgovaraju\u0107ih kabela s boljim elektromagnetskim oklopom, feritnih prstenova i posebno certificiranih ku\u0107i\u0161ta. Obi\u010dni kabeli i ekrani uglavnom nemaju istu razinu za\u0161tite od ove vrste presretanja.<\/p>","protected":false},"excerpt":{"rendered":"<p>Novi pristop re\u0161uje dolgoletno oviro prestrezanja digitalnih video signalov, ki so zaradi 10-bitnega kodiranja in svojih nelinearnih lastnosti veljali za preve\u010d zapletene za zanesljivo rekonstrukcijo. Raziskovalci so zato problem zastavili kot obratno nalogo in razvili model globokega u\u010denja, ki temelji na arhitekturi DRUNet. Ta elektromagnetne signale pretvarja nazaj v vizualno podobo. Pomembna prednost sistema je [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[192],"class_list":["post-8368","post","type-post","status-publish","format-standard","hentry","category-racunalnistvo-telefonija","tag-umetna-inteligenca"],"acf":{"subtitle":"Raziskovalci z univerze v Montevideu so razvili sistem Deep-TEMPEST, ki s pomo\u010djo umetne inteligence sestavi vsebino zaslona na podlagi elektromagnetnega sevanja kablov HDMI. Nova metoda sicer temelji na konceptu, znanem \u017ee iz \u010dasov analogne tehnologije VGA, vendar ga uspe\u0161no prena\u0161a tudi v digitalno okolje.","heading":"","summary":"Sistem Deep-TEMPEST omogo\u010da zajem besedila z zaslona prek elektromagnetnih emisij HDMI kablov s pomo\u010djo umetne inteligence, pri \u010demer stopnja napak ostaja pod 30 odstotki, re\u0161itev pa zahteva stro\u017ejo za\u0161\u010dito kablov.","thumbnail_small":"https:\/\/racunalniske-novice.com\/wp-content\/uploads\/2026\/11\/pexels-kampus-8353774-560x315.jpg","thumbnail_large":"https:\/\/racunalniske-novice.com\/wp-content\/uploads\/2026\/11\/pexels-kampus-8353774-1024x684.jpg","thumbnail_caption":"Foto: Pexels","gallery":"","video_gallery":null,"author":"","links":null,"sources":[{"title":"hwupgrade","url":"https:\/\/www.hwupgrade.it\/news\/sicurezza-software\/spiare-un-monitor-dal-cavo-hdmi-un-ia-azzecca-oltre-7-caratteri-su-10_161831.html"}],"skip_language":[]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Kako UI bere besedilo prek elektromagnetnega sevanja kablov HDMI - Ra\u010dunalni\u0161ke novice<\/title>\n<meta name=\"description\" content=\"Sistem Deep-TEMPEST omogo\u010da zajem besedila z zaslona prek elektromagnetnih emisij HDMI kablov s pomo\u010djo umetne inteligence, pri \u010demer stopnja napak ostaja pod 30 odstotki, re\u0161itev pa zahteva stro\u017ejo z\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/viva.racunalniske-novice.com\/hr\/wp-json\/wp\/v2\/posts\/8368\" \/>\n<meta property=\"og:locale\" content=\"hr_HR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kako UI bere besedilo prek elektromagnetnega sevanja kablov HDMI - Ra\u010dunalni\u0161ke novice\" \/>\n<meta property=\"og:description\" content=\"Novi pristop re\u0161uje dolgoletno oviro prestrezanja digitalnih video signalov, ki so zaradi 10-bitnega kodiranja in svojih nelinearnih lastnosti veljali za preve\u010d zapletene za zanesljivo rekonstrukcijo. Raziskovalci so zato problem zastavili kot obratno nalogo in razvili model globokega u\u010denja, ki temelji na arhitekturi DRUNet. Ta elektromagnetne signale pretvarja nazaj v vizualno podobo. 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