{"id":3933,"date":"2023-08-07T17:58:34","date_gmt":"2023-08-07T17:58:34","guid":{"rendered":"https:\/\/dailyai.com\/?p=3933"},"modified":"2023-08-07T18:08:41","modified_gmt":"2023-08-07T18:08:41","slug":"ai-powered-acoustic-attack-extracts-data-from-keystrokes-with-95-precision","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/08\/ai-powered-acoustic-attack-extracts-data-from-keystrokes-with-95-precision\/","title":{"rendered":"AI-driven akustisk attack extraherar data fr\u00e5n tangenttryckningar med 95%-precision"},"content":{"rendered":"

Forskare fr\u00e5n de brittiska universiteten Durham University, University of Surrey och Royal Holloway University of London har utvecklat en innovativ AI-st\u00f6dd teknik f\u00f6r att extrahera tangenttryckningar fr\u00e5n akustiska inspelningar.\u00a0<\/b><\/p>\n

Den <\/span>studie<\/span><\/a> utvecklat en teknik f\u00f6r att framg\u00e5ngsrikt l\u00e4sa av tangenttryckningar fr\u00e5n tangentbord med hj\u00e4lp av ljudinspelningar. <\/span><\/p>\n

Den h\u00e4r tekniken kan g\u00f6ra det m\u00f6jligt f\u00f6r hackare att analysera tangenttryckningar genom att ta \u00f6ver en enhets mikrofon och samla in personlig information som l\u00f6senord, privata konversationer, meddelanden och andra k\u00e4nsliga uppgifter.\u00a0<\/span><\/p>\n

Tangenttryckningarna spelas in via en mikrofon och bearbetas och analyseras av en maskininl\u00e4rningsmodell (ML) som best\u00e4mmer deras avst\u00e5nd och placering p\u00e5 tangentbordet.\u00a0<\/span><\/p>\n

Modellen kan identifiera enskilda tangenttryckningar med en chockerande tr\u00e4ffs\u00e4kerhet p\u00e5 95% n\u00e4r tryckningarna spelas in via en n\u00e4rliggande telefonmikrofon. Prediktionsnoggrannheten minskade till 93% n\u00e4r inspelningar gjorda via Zoom anv\u00e4ndes f\u00f6r att tr\u00e4na ljudklassificeringsalgoritmen.\u00a0<\/span><\/p>\n

Akustiska hackingattacker har blivit alltmer sofistikerade tack vare den utbredda tillg\u00e5ngen p\u00e5 enheter utrustade med mikrofoner som kan f\u00e5nga upp h\u00f6gkvalitativt ljud.\u00a0<\/span><\/p>\n

Hur fungerar modellen?<\/span><\/h2>\n

Attacken b\u00f6rjar med att registrera tangenttryckningar p\u00e5 m\u00e5lets tangentbord. Dessa data \u00e4r avg\u00f6rande f\u00f6r att tr\u00e4na den prediktiva algoritmen.\u00a0<\/span><\/p>\n

Inspelningen kan g\u00f6ras med hj\u00e4lp av en mikrofon i n\u00e4rheten eller med hj\u00e4lp av en telefon som \u00e4r infekterad med skadlig programvara och som har tillg\u00e5ng till mikrofonen.\u00a0<\/span><\/p>\n

Alternativt kan en oseri\u00f6s deltagare i ett Zoom-samtal korrelera meddelanden som skrivs av m\u00e5let med deras ljudinspelning. Det kan ocks\u00e5 finnas s\u00e4tt att hacka datorns mikrofon med hj\u00e4lp av skadlig kod eller s\u00e5rbarheter i programvaran.\u00a0<\/span><\/p>\n

Forskarna samlade in tr\u00e4ningsdata genom att trycka 25 g\u00e5nger p\u00e5 var och en av de 36 tangenterna p\u00e5 en modern MacBook Pro och spela in det ljud som varje knapptryckning genererade. V\u00e5gformer och spektrogram producerades fr\u00e5n dessa inspelningar, vilket visualiserade identifierbara variationer f\u00f6r varje tangent.\u00a0<\/span><\/p>\n

\"AI-tangenttryckningar\"
Forskare bearbetade ljudinspelningar till spektrogram som bearbetades av en maskininl\u00e4rningsmodell (ML). K\u00e4llan \u00e4r: En praktisk Deep Learning-baserad akustisk sidokanalattack p\u00e5 tangentbord<\/a>.<\/figcaption><\/figure>\n

Ytterligare databehandling utf\u00f6rdes f\u00f6r att f\u00f6rb\u00e4ttra de signaler som anv\u00e4ndes f\u00f6r att identifiera tangenttryckningar.<\/span><\/p>\n

Dessa spektrogrambilder anv\u00e4ndes f\u00f6r att tr\u00e4na \"CoAtNet\", en bildklassificerare som tillskriver olika ljudspektrogram till olika tangenttryckningar.\u00a0<\/span><\/p>\n

I sina tester anv\u00e4nde forskarna en b\u00e4rbar dator med ett tangentbord som liknar nyare Apple-b\u00e4rbara datorer. Mikrofoner och inspelningsmetoder inkluderade en iPhone 13 Mini placerad 17 cm bort fr\u00e5n m\u00e5let, Zoom och Skype.<\/span><\/p>\n

CoANet-klassificeringen visade 95% noggrannhet fr\u00e5n smartphone-inspelningar och 93% fr\u00e5n inspelningar via Zoom. De testade ocks\u00e5 tangenttryckningar som spelats in via Skype, vilket gav 91,7% noggrannhet.<\/span><\/p>\n

I forskningsrapporten f\u00f6resl\u00e5s att man \u00e4ndrar skrivstil eller anv\u00e4nder slumpm\u00e4ssiga l\u00f6senord f\u00f6r att f\u00f6rhindra s\u00e5dana attacker, men det \u00e4r l\u00e5ngt ifr\u00e5n praktiskt.\u00a0<\/span><\/p>\n

Andra potentiella f\u00f6rsvars\u00e5tg\u00e4rder \u00e4r att anv\u00e4nda programvara f\u00f6r att \u00e5terskapa ljudet av tangenttryckningar, vitt brus eller programvarubaserade ljudfilter f\u00f6r tangenttryckningar. <\/span>Studien visade dock att \u00e4ven ett tyst tangentbord kunde analyseras f\u00f6r tangenttryckningar.\u00a0<\/span><\/p>\n

Detta \u00e4r ytterligare ett nytt exempel p\u00e5 hur maskininl\u00e4rning kan m\u00f6jligg\u00f6ra sofistikerade bedr\u00e4geritekniker<\/a>. A nyligen genomf\u00f6rd studie<\/a> fann att djupa falska ljudr\u00f6ster kunde lura s\u00e5 m\u00e5nga som 25% m\u00e4nniskor.\u00a0<\/span><\/p>\n

Ljudattacker kan riktas mot h\u00f6gprofilerade personer som politiker och VD:ar f\u00f6r att stj\u00e4la k\u00e4nslig information eller starta ransomware-attacker baserade p\u00e5 stulna konversationer.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Forskare fr\u00e5n de brittiska universiteten Durham University, University of Surrey och Royal Holloway University of London har utvecklat en innovativ AI-st\u00f6dd teknik f\u00f6r att utvinna tangenttryckningar fr\u00e5n akustiska inspelningar. I studien utvecklades en teknik f\u00f6r att framg\u00e5ngsrikt l\u00e4sa av tangenttryckningar fr\u00e5n tangentbord med hj\u00e4lp av ljudinspelningar. Den h\u00e4r tekniken skulle kunna g\u00f6ra det m\u00f6jligt f\u00f6r hackare att analysera tangenttryckningar genom att ta \u00f6ver en enhets mikrofon och samla in personlig information som l\u00f6senord, privata konversationer, meddelanden och annan k\u00e4nslig data. Tangenttryckningarna spelas in via en mikrofon och bearbetas och analyseras av en maskininl\u00e4rningsmodell (ML) som fastst\u00e4ller deras avst\u00e5nd och position p\u00e5 tangentbordet. Modellen kan identifiera enskilda tangenttryckningar med<\/p>","protected":false},"author":2,"featured_media":3935,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[161,283,105],"class_list":["post-3933","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-fraud","tag-hackers","tag-machine-learning"],"yoast_head":"\nAI-powered acoustic attack extracts data from keystrokes with 95% precision | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers from UK universities Durham University, University of Surrey, and Royal Holloway University of London developed an innovative AI-supported technique for extracting keystrokes from acoustic recordings.\u00a0\" \/>\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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