{"id":13901,"date":"2022-04-26T19:12:03","date_gmt":"2022-04-26T19:12:03","guid":{"rendered":"https:\/\/direc.dk\/nye-teknologier-skal-hjaelpe-banker-forsikringsselskaber-og-myndigheder-med-at-bekaempe-svindel\/"},"modified":"2024-12-16T10:47:30","modified_gmt":"2024-12-16T10:47:30","slug":"nye-teknologier-skal-hjaelpe-banker-forsikringsselskaber-og-myndigheder-med-at-bekaempe-svindel","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/nye-teknologier-skal-hjaelpe-banker-forsikringsselskaber-og-myndigheder-med-at-bekaempe-svindel\/","title":{"rendered":"Nye teknologier skal hj\u00e6lpe banker, forsikringsselskaber og myndigheder med at bek\u00e6mpe svindel"},"content":{"rendered":"\t\t
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26. APRIL 2022<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Nye teknologier skal hj\u00e6lpe banker, forsikringsselskaber og myndigheder med at bek\u00e6mpe svindel<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Blockchain-baserede teknologier kan ikke kun bruges til kryptovalutaer. Teknologien fjerner behovet for en mellemmand, n\u00e5r man overf\u00f8rer v\u00e6rdier mellem to parter, og kan sikre, at der ikke bliver \u00e6ndret p\u00e5 et datas\u00e6t.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Hvis man kombinerer den egenskab med kryptografiske teknikker, vil man kunne hj\u00e6lpe banker og myndigheder med at dele personf\u00f8lsomt data sikkert, og dermed g\u00f8re dem i stand til at bek\u00e6mpe svindel. Netop det er form\u00e5let i et nyt projekt mellem forskere fra Aarhus Universitet, IT Universitetet i K\u00f8benhavn og Alexandra Instituttet, som er st\u00f8ttet af DIREC – Digital Research Centre Denmark.<\/p>\n

Kryptografiske teknologier som multiparty computation (MPC) g\u00f8r det muligt at dele data, uden at modtageren f\u00e5r indsigt i selve datas\u00e6ttene. Teknologierne har eksisteret siden 1980\u2019erne, men de er stadig ukendte for mange myndigheder og virksomheder p\u00e5 trods af den hj\u00e6lp de kan tilbyde, n\u00e5r det kommer til at lave beregninger p\u00e5 personf\u00f8lsomt, fortroligt og propriet\u00e6r data.<\/p>\n

S\u00e5dan lyder det fra Bernardo David, der er lektor p\u00e5 IT-Universitetet i K\u00f8benhavn og som deltager i projektet.<\/p>\n

\u201cVi lever i en data-etisk tid, hvor det kan v\u00e6re udfordrende for virksomheder at passe p\u00e5 f\u00f8lsomt data, og samtidig er vores private data beskyttet af regulativer og lovgivning. Men hvis vi holder data for os selv, kan vi ikke bruge det i beregninger og dermed h\u00f8ste frugterne af de her data. Det er for eksempel data, som potentielt kan g\u00f8re virksomheder mere effektive, eller data, som kan anvendes til medicinsk forskning og dermed forbedre vores behandling i sundhedsv\u00e6senet,\u201d forklarer han.<\/p>\n

Teknologien er b\u00e5de oplagt blandt i finansv\u00e6senet og sundhedsv\u00e6senet<\/strong>
\nDer findes en lang r\u00e6kke oplagte usecases, forklarer Tore Frederiksen, der er Senior Cryptography Engineer ved Alexandra Instituttet:<\/p>\n

\u201cProjektet er delt i to. Vi vil starte med\u00a0 at finde ud af, hvordan virksomheder kan drage nytte af disse teknologier, og derefter vil vi kigge specifikt p\u00e5 banker, forsikringsselskaber og gambling sites, som er kendt for at have nogle kunder, der ikke altid har rent mel i posen. Her vil vi fokusere p\u00e5 at udvikle v\u00e6rkt\u00f8jer, som giver disse brancher mulighed for at forhindre svindel og hvidvaskning.\u201d<\/p>\n

Det vil ogs\u00e5 v\u00e6re oplagt at bruge disse v\u00e6rkt\u00f8jer til at dele personf\u00f8lsomme data i forskningsprojekter p\u00e5 tv\u00e6rs af fx medicinske databaser og landegr\u00e6nser.<\/p>\n

\u201cDet er jo ofte s\u00e5dan, at jo flere data man har til r\u00e5dighed des bedre, og som forsker vil man aldrig lade sig bero p\u00e5 data fra \u00e9t hospital. Man har brug for flere datakilder, men det er typisk ikke muligt, fordi der ofte er tale om personf\u00f8lsomt data. Med de her teknikker kan man analysere og dele data om bestemte sygdomme eller genetiske mark\u00f8rer, som i sidste ende kan give en bedre behandling,\u201d forklarer Bernardo David.<\/p>\n

I projektet vil man ikke kun udvikle teknologier, som g\u00f8r det muligt for myndigheder og virksomheder at arbejde med data fra forskellige kilder. Man vil ogs\u00e5 udvikle nogle mekanismer, som g\u00f8r det muligt for myndighederne at bevise, at de h\u00e5ndterer data korrekt.<\/p>\n

\u201cHvis man skaber transparens om m\u00e5den hvorp\u00e5 man har delt data og delingen respekterer privatlivets fred, s\u00e5 f\u00e5r man mere tillid blandt befolkningen til, at disse data ikke er blevet misbrugt,\u201d siger Bernardo David.<\/p>\n

Der er en udfordring i, at mange virksomheder og myndigheder slet ikke er klar over, at de her v\u00e6rkt\u00f8jer eksisterer. S\u00e5 en del af projektet g\u00e5r ogs\u00e5 ud p\u00e5 at udbrede kendskabet til teknologierne og designe dem, s\u00e5 de opfylder specifikke behov.<\/p>\n

Der er en \u00e5benlys grund til, at virksomhederne ikke kender til teknologierne, forklarer Sophia Yakoubov, der er projektleder og adjunkt p\u00e5 Institut for Datalogi p\u00e5 Aarhus Universitet.<\/p>\n

\u201cUdover at teknologierne er ukendte for mange virksomheder, s\u00e5 kan den manglende brug af dem ogs\u00e5 skyldes, at de er mindre effektive til at udf\u00f8re en beregning, end hvis man g\u00f8r det p\u00e5 en usikker m\u00e5de. Og af den grund s\u00e5 v\u00e6lger nogle virksomheder at ofre sikkerheden til fordel for effektiviteten. S\u00e5 m\u00e5let med vores forskning er at g\u00f8re de her sikre teknologier mere effektive,\u201d forklarer hun.<\/p>\n

Fakta om projektet<\/strong>
\nProjektet, der er st\u00f8ttet af DIREC – Digital Research Centre Denmark, skal unders\u00f8ge, hvordan man kan anvende teknologier som blockchain og multiparty computation til at regne p\u00e5 data uden at afgive personf\u00f8lsomme data. Teknologierne kan bl.a. anvendes til at identificere svindel inden for finans- og forsikringsbranchen. Det samme g\u00e6lder inden for sundhedsomr\u00e5det, hvor teknologierne kan bruges til dele og regne p\u00e5 f\u00f8lsomme forskningsdata p\u00e5 tv\u00e6rs af fx medicinske databaser.<\/p>\n

Projektet ledes af Sophia Yakoubov fra Institut for Datalogi p\u00e5 Aarhus Universitet. Derudover deltager Tore Frederiksen og Mads Schaarup Andersen og Laura Lynggaard Nielsen, alle fra Alexandra Instituttet samt Bernardo David og Louise Barkhuus fra IT Universitetet i K\u00f8benhavn.<\/p>\n

L\u00e6s mere om projektet her<\/a><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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26. april 2022<\/b>
\nBlockchain-baserede teknologier kan ikke kun bruges til kryptovalutaer. Teknologien fjerner behovet for en mellemmand, n\u00e5r man overf\u00f8rer v\u00e6rdier mellem to parter, og kan sikre, at der ikke bliver \u00e6ndret p\u00e5 et datas\u00e6t.<\/p>\n","protected":false},"author":3,"featured_media":13888,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[178,31],"tags":[89,97],"class_list":["post-13901","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity-da","category-nyheder","tag-impact-story-da","tag-p29-da"],"yoast_head":"\nNye teknologier skal hj\u00e6lpe banker, forsikringsselskaber og myndigheder med at bek\u00e6mpe svindel - DIREC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/direc.dk\/da\/nye-teknologier-skal-hjaelpe-banker-forsikringsselskaber-og-myndigheder-med-at-bekaempe-svindel\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nye teknologier skal hj\u00e6lpe banker, forsikringsselskaber og myndigheder med at bek\u00e6mpe svindel - DIREC\" \/>\n<meta property=\"og:description\" content=\"26. april 2022 Blockchain-baserede teknologier kan ikke kun bruges til kryptovalutaer. 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