{"id":10800,"date":"2024-03-28T12:31:15","date_gmt":"2024-03-28T11:31:15","guid":{"rendered":"https:\/\/sits.com\/ai-generated-deepfakes-attack-on-democracy-and-the-global-economy\/"},"modified":"2024-11-22T11:33:09","modified_gmt":"2024-11-22T10:33:09","slug":"ai-generated-deepfakes-attack-on-democracy-and-the-global-economy","status":"publish","type":"post","link":"https:\/\/sits.friendventure.dev\/da\/blog\/ai-generated-deepfakes-attack-on-democracy-and-the-global-economy\/","title":{"rendered":"AI-genererede \u201ddeepfakes\u201d – angreb p\u00e5 demokratiet og den globale \u00f8konomi"},"content":{"rendered":"

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Deepfake phishing - identificer farer og tag modforholdsregler<\/h2>[vc_column_text]Social engineering er ikke en ny metode - og fungerer stadig bem\u00e6rkelsesv\u00e6rdigt godt: Denne type angreb er baseret p\u00e5 at vinde tillid og f\u00e5 offeret til at g\u00f8re ting, som de egentlig ikke burde g\u00f8re: For eksempel at afsl\u00f8re adgangskoder eller andre f\u00f8lsomme oplysninger. Angriberne benytter sig i stigende grad af s\u00e5kaldte deepfakes. Deepfakes er manipulerede videoer, billeder eller lydoptagelser, hvor kunstig intelligens og maskinl\u00e6ring bruges til at integrere en persons ansigt eller stemme i en fort\u00e6lling der er usandt. Denne teknologi kan bruges til at skabe overbevisende forfalskninger, der n\u00e6sten ikke kan skelnes fra \u00e6gte indhold. Angribere har ikke l\u00e6ngere kun manipulerende e-mails til r\u00e5dighed til vildledende aktiviteter, men kan f.eks. ogs\u00e5 arrangere et telefonopkald, hvor den der ringer op, lyder som den administrerende direkt\u00f8r for den virksomhed der angribes, ved hj\u00e6lp af AI-teknologi der er frit tilg\u00e6ngelig p\u00e5 internettet.[\/vc_column_text]
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Forbedrede deepfakes - \u00f8get risiko for manipulation<\/h2>[vc_column_text]Den n\u00f8dvendige teknologi til dette, som er baseret p\u00e5 komplekse maskinl\u00e6ringsalgoritmer, har udviklet sig hurtigt i de senere \u00e5r. Derfor dukker der flere og flere af den slags sofistikerede deepfakes op. Nogle bruges til onlinesvindel, andre som falske nyheder. Is\u00e6r politikere er blandt ofrene, f.eks. Joao Doria, guvern\u00f8r i den brasilianske delstat S\u00e3o Paulo. I 2018 blev der offentliggjort en video, der viste ham i et p\u00e5st\u00e5et sexorgie. Senere viste det sig, at den var falsk. Anklage er \u00e9n fare, m\u00e5lrettet misinformation er en anden. Falske nyheder er allerede almindelige f\u00f8r valg, og falske nyhedsvideoer dukker ogs\u00e5 op oftere og oftere og bliver hurtigt distribueret online. Det er f.eks. muligt at l\u00e6gge ord i munden p\u00e5 politikere, som de aldrig har sagt. Tidligere var manipulerede klip nemme at identificere med et granskende blik. Nu skal selv eksperter kigge bedre efter.[\/vc_column_text]
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Antallet af angreb p\u00e5 virksomheder er stigende<\/h2>[vc_column_text]Deepfake-teknologi rummer en r\u00e6kke IT-risici for virksomheder. Ved deepfake-phishing fors\u00f8ger cyberkriminelle f.eks. at bruge deepfake-indhold til at narre ofre til at udf\u00f8re uautoriserede betalinger eller udlevere f\u00f8lsomme oplysninger. En sag fra Hong Kong viser, hvordan det fungerer: If\u00f8lge politirapporter overf\u00f8rte en \u00f8konomimedarbejder i en multinational virksomhed 25 millioner dollars til svindlere, som med succes udgav sig for at v\u00e6re virksomhedens \u00f8konomidirekt\u00f8r i en videokonference (https:\/\/edition.cnn.com\/2024\/02\/04\/asia\/deepfake-cfo-scam-hong-kong-intl-hnk\/index.html ). \"I videokonferencen med flere personer viste det sig, at alle de tilstedev\u00e6rende var falske,\" sagde chefpolitiinspekt\u00f8r Baron Chan Shun-ching. Medarbejderen havde i f\u00f8rste omgang mistanke om, at invitationen til videokonferencen var en phishing-mail. Men under videoopkaldet lagde medarbejderen sin skepsis til side, da de andre deltagere s\u00e5 ud og l\u00f8d pr\u00e6cis som hans kolleger. I troen p\u00e5, at alle de andre deltagere i samtalen var \u00e6gte, gik medarbejderen med til at overf\u00f8re i alt 200 millioner Hong Kong-dollars - svarende til omkring 25,6 millioner amerikanske dollars. Dette er blot et af mange tilf\u00e6lde, hvor svindlere har brugt deepfakes til at manipulere offentligt tilg\u00e6ngelige video- og andre optagelser for at snyde virksomheder for deres penge.[\/vc_column_text]
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To typer af deepfake phishing-angreb<\/h2>[vc_column_text]S\u00e5danne deepfake phishing-kampagner forekommer mere effektivt og hyppigere, efterh\u00e5nden som AI-teknologien udvikler sig. CISO'er b\u00f8r tr\u00e6ne og forberede s ansatte p\u00e5 at reagere mod s\u00e5danne angreb. En m\u00e5de at g\u00f8re det p\u00e5 er at forklare dem, hvad deepfake-phishing er, og hvordan det fungerer. Der er grundl\u00e6ggende to typer af deepfake-phishing-angreb:<\/p>\n
    \n
  • Angreb i realtid:<\/strong> I et vellykket realtidsangreb er den forfalskede lyd eller video s\u00e5 sofistikeret, at offeret tror, at personen i telefonen eller i en videokonference er den, de giver sig ud for at v\u00e6re, f.eks. en kollega eller en kunde. I disse interaktioner skaber angriberne ofte en st\u00e6rk f\u00f8lelse af, at det haster, ved at f\u00e5 ofrene til at tro, at de har imagin\u00e6re deadlines, b\u00f8der og andre konsekvenser af forsinkelser for at l\u00e6gge pres p\u00e5 dem og f\u00e5 dem til at reagere overilet.<\/li>\n
  • Ikke-realtidsangreb:<\/strong> I ikke-realtidsangreb udgiver cyberkriminelle sig for at v\u00e6re en anden person gennem falske lyd- eller videobeskeder, i hvis navn de derefter distribuerer falske instruktioner via asynkrone kommunikationskanaler som chat, e-mail, voicemail eller sociale medier. Denne type kommunikation reducerer presset p\u00e5 de kriminelle for at svare trov\u00e6rdigt i realtid. Samtidig giver det dem mulighed for at perfektionere deepfake-klip, f\u00f8r de distribuerer dem. Derfor kan et angreb, der ikke foreg\u00e5r i realtid, v\u00e6re meget mere sofistikeret og v\u00e6kke mindre mistanke hos ofrene.<\/li>\n<\/ul>\n

    Sammenlignet med tekstbaserede phishing-kampagner har deepfake video- eller lydklip, der sendes via e-mail, ogs\u00e5 en st\u00f8rre chance for at passere gennem sikkerhedsfiltre. Angreb, der ikke finder sted i realtid, giver ogs\u00e5 angriberne mulighed for at \u00f8ge deres m\u00e5lgruppe. For eksempel kan en angriber udgive sig for at v\u00e6re \u00f8konomidirekt\u00f8r og sende den samme lyd- eller videobesked til alle medarbejdere i \u00f8konomiafdelingen. Det \u00f8ger sandsynligheden for, at nogen falder for det og afsl\u00f8rer fortrolige oplysninger. I begge typer angreb giver aktiviteten p\u00e5 de sociale medier normalt angriberne tilstr\u00e6kkelig information til at sl\u00e5 til strategisk , n\u00e5r m\u00e5lene sandsynligvis er distraherede eller mest disponerede.[\/vc_column_text]

    <\/div>\n

    Identificer \u201ddeep fake\u201d phishing<\/h2>[vc_column_text]Identifikationen af deepfake phishing-angreb er baseret p\u00e5 fire elementer:<\/p>\n
      \n
    • Phishing i almindelighed:<\/strong> Hver leder og hver medarbejder skal l\u00e6re dette princip: Phishing er baseret p\u00e5 at friste ofrene til at tr\u00e6ffe forhastede beslutninger. Derfor b\u00f8r en f\u00f8lelse af, at det haster, straks udl\u00f8se en alarm i enhver interaktion. Hvis en person - det v\u00e6re sig den administrerende direkt\u00f8r eller vigtige kunder - for eksempel beder om en \u00f8jeblikkelig bankoverf\u00f8rsel eller produktlevering, b\u00f8r man stoppe op og tjekke, om det er en legitim anmodning.<\/li>\n
    • Deepfake-egenskaber i videoer:<\/strong> Virksomhedens sikkerhedsansvarlige b\u00f8r sikre sig medarbejdernes bevidsthed om kendte og nye angrebsmetoder gennem l\u00f8bende tr\u00e6ning. En fordel ved dette er, at de fleste mennesker finder deepfake-phishing-tr\u00e6ning s\u00e6rligt interessant, engagerende og l\u00e6rerig. Det er trods alt n\u00e6sten underholdende at se deepfake-videoer og identificere mist\u00e6nkelige visuelle spor. Typiske tegn p\u00e5, at det kunne v\u00e6re en deepfake-video, er urealistiske blink, inkonsekvent belysning og unaturlige ansigtsbev\u00e6gelser. Andre tegn p\u00e5 fake er flimren i kanterne af ansigter, ellerforvr\u00e6ngede h\u00e5r, \u00f8jne og andre dele af ansigtet.<\/li>\n
    • Deepfake-egenskaber i lydfiler:<\/strong> Udtalefejl forekommer ofte i tekst-til-tale-systemer (TTS), is\u00e6r n\u00e5r det udtalte ord ikke svarer til det tr\u00e6nede sprog. Monotont taleoutput er for\u00e5rsaget af utilstr\u00e6kkelige tr\u00e6ningsdata, mens forfalskningsmetoder i \u00f8jeblikket stadig har sv\u00e6rt ved at efterligne visse funktioner som f.eks. accenter korrekt. Forskellige inputdata kan f\u00f8re til unaturlige lyde, og behovet for at indfange det semantiske indhold f\u00f8r syntese kan i h\u00f8j grad forsinke processen med at generere forfalskninger af h\u00f8j kvalitet. Et godt r\u00e5d: Hvis du vil l\u00e6re at identificere manipulerede lyddata, er Fraunhofer AISEC's hjemmeside (https:\/\/deepfake-demo.aisec.fraunhofer.de\/?) et godt sted at starte (Siden er p\u00e5 engelsk).<\/li>\n
    • Bekr\u00e6ftelse af identitet:<\/strong> I tilf\u00e6lde af hasteanmodninger b\u00f8r medarbejderne h\u00f8fligt p\u00e5pege, at personen p\u00e5 grund af det \u00f8gede antal phishing-angreb skal bekr\u00e6fte sin identitet ved hj\u00e6lp af to-faktor-autentificering via separate kanaler. Alternativt, i tilf\u00e6lde af mist\u00e6nkelige interaktioner via telefon eller e-mail, b\u00f8r den anden person opgive oplysninger, som kun er kendt af begge parter. Et typisk eksempel er et sp\u00f8rgsm\u00e5l om, hvor l\u00e6nge man har v\u00e6ret ansat. N\u00e6re kolleger kan endda stille mere personlige sp\u00f8rgsm\u00e5l, f.eks. om hvor mange b\u00f8rn den anden har, eller hvorn\u00e5r de sidst spiste sammen. Det kan v\u00e6re ubehageligt, men det er en effektiv metode til at afsl\u00f8re svindlere.<\/li>\n<\/ul>\n

      [\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/section>","protected":false},"excerpt":{"rendered":"

      [vc_row][vc_column][vc_column_text]Social engineering er ikke en ny metode – og fungerer stadig bem\u00e6rkelsesv\u00e6rdigt godt: Denne type angreb er baseret p\u00e5 at vinde tillid og f\u00e5 offeret til at g\u00f8re ting, som de egentlig ikke burde g\u00f8re: For eksempel at afsl\u00f8re adgangskoder eller andre f\u00f8lsomme oplysninger. Angriberne benytter sig i stigende grad af s\u00e5kaldte deepfakes. Deepfakes er […]<\/p>\n","protected":false},"author":4,"featured_media":10391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[304],"tags":[],"class_list":["post-10800","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-da"],"acf":[],"yoast_head":"\nAI-genererede \u201ddeepfakes\u201d - angreb p\u00e5 demokratiet og den globale \u00f8konomi | SITS<\/title>\n<meta name=\"description\" content=\"AI-genererede \u201ddeepfakes\u201d - angreb p\u00e5 demokratiet og den globale \u00f8konomi \u00bb Jetzt informieren!\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-genererede \u201ddeepfakes\u201d - angreb p\u00e5 demokratiet og den globale \u00f8konomi | SITS\" \/>\n<meta property=\"og:description\" content=\"AI-genererede \u201ddeepfakes\u201d - 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