{"id":31109,"date":"2024-11-18T13:19:10","date_gmt":"2024-11-18T13:19:10","guid":{"rendered":"https:\/\/direc.dk\/fra-sundhedsdata-til-bankoplysninger-forskere-vil-dele-foelsomme-data-til-gavn-for-samfundet\/"},"modified":"2024-12-13T14:53:31","modified_gmt":"2024-12-13T14:53:31","slug":"fra-sundhedsdata-til-bankoplysninger-forskere-vil-dele-foelsomme-data-til-gavn-for-samfundet","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/fra-sundhedsdata-til-bankoplysninger-forskere-vil-dele-foelsomme-data-til-gavn-for-samfundet\/","title":{"rendered":"Fra sundhedsdata til bankoplysninger: Forskere vil dele f\u00f8lsomme data til gavn for samfundet"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTil nyheder<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\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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18. november 2024<\/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\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Fra sundhedsdata til bankoplysninger: Forskere vil dele f\u00f8lsomme data til gavn for samfundet<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Danmark g\u00e5r glip af markante forbedringer af samfundet, fordi store m\u00e6ngder f\u00f8lsomme data ikke kan deles p\u00e5 tv\u00e6rs af organisationer. Nu har et forskerhold af dataloger fundet en m\u00e5de at kryptere data, s\u00e5 de kan deles og behandles anonymt med maskinl\u00e6ring. <\/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\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Hver dag indsamler virksomheder, forskere og institutioner store m\u00e6ngder data, som ikke ser dagens lys p\u00e5 grund af privatlivs- eller konkurrencehensyn. Men hvad ville der ske, hvis disse data kunne anonymiseres og deles p\u00e5 tv\u00e6rs af organisationer \u2013 for eksempel i jagten p\u00e5 at skabe bedre medicin eller optrevle kriminelle netv\u00e6rk? Deling og kryptering af data er afg\u00f8rende for, at disse scenarier kan lade sig g\u00f8re.<\/p>\n

I projektet “Privacy and Machine Learning” har et hold af dataloger med st\u00f8tte fra DIREC taget et afg\u00f8rende skridt mod en l\u00f8sning, der baner vejen for, at endnu mere data kan deles til gavn for hele samfundet.<\/p>\n

“Der er stort potentiale i at bruge f\u00f8lsomme data til at forbedre forskellige sektorer. For eksempel i form af bedre medicin eller bedre opsporing af hvidvask. Det handler bare om at at udvikle krypteringsteknologier, der tillader at vi kan behandle anonymiserede data,” forklarer Peter Scholl, lektor i datalogi p\u00e5 Aarhus Universitet og leder af projektet.<\/p>\n

Decentral anonymisering er vejen frem<\/h5>\n

Udfordringen med deling af f\u00f8lsomme data ligger i at sikre, at data forbliver private under behandlingen. Her kommer krypteringsmetoden multiparty computation (MPC) ind i billedet.<\/p>\n

MPC er en teknik, der tillader flere parter at dele krypterede data, uden at afsl\u00f8re deres input for hinanden. P\u00e5 den m\u00e5de kan alle parter tilg\u00e5 det samlede resultat uden at det kan spores, hvem der bidrager med hvilke data.<\/p>\n

“Med MPC kan vi behandle data, som forbliver krypterede for alle parter. Ingen kan se de andres data, men de kan stadig l\u00e6re noget om resultatet og bruge dem til at udvikle nye produkter,” uddyber Peter Scholl.<\/p>\n

I finansverdenen kan metoden bane vejen for, at banker kan samarbejde om svindelopsporing ved at kombinere deres kunders betalingsdata uden at afsl\u00f8re kundernes identitet eller konkurrencef\u00f8lsomme oplysninger. Det samme g\u00e6lder for sundhedsv\u00e6senet, hvor hospitaler vil kunne f\u00e5 adgang til st\u00f8rre datas\u00e6t, hvis patienters scanningsbilleder kunne deles p\u00e5 tv\u00e6rs af landet.<\/p>\n

Jagten p\u00e5 effektivitet<\/h5>\n

MPC er ikke en gratis aff\u00e6re. Serverplads, str\u00f8mforbrug og andre store investeringer spiller kraftigt ind. Balancen mellem pris, sikkerhed og ydeevne er h\u00e5rfin. Derfor har projektet ogs\u00e5 fokus p\u00e5 at finde m\u00e5der, som g\u00f8r krypteringen mere effektiv.<\/p>\n

Den udfordring arbejder Hiraku Morita p\u00e5 at l\u00f8se som postdoc i datalogi ved K\u00f8benhavns og Aarhus Universitet. I artiklen \u201cMAESTRO: Multi-party AES using Lookup Tables\u201d benytter han og forskerteamet en ny teknik, der med s\u00e5kaldte opslagstabeller kan hj\u00e6lpe algoritmen med at udf\u00f8re de p\u00e5kr\u00e6vede beregninger og \u00f8ge algoritmens effektivitet.<\/p>\n

\u201cDe fleste mennesker kan svare hurtigt p\u00e5, hvad fem gange fem er, fordi vi har l\u00e6rt tabellerne udenad eller kan huske dem visuelt. P\u00e5 samme m\u00e5de kan vi hj\u00e6lpe algoritmen med at huske de mange sv\u00e6re funktioner, den skal beregne, s\u00e5 den ikke bruger mere b\u00e5ndbredde end n\u00f8dvendigt,\u201d siger Hiraku Morita.<\/p>\n

Han fort\u00e6ller, at industrien allerede har udtrykt interesse for teknologien.<\/p>\n

\u201cMange virksomheder har vist interesse for at bruge vores metoder, men det kan tage lang tid at f\u00e5 en protokol klar til kommerciel brug. M\u00e5ske ser vi det ske inden for de n\u00e6ste par \u00e5r,\u201d afslutter Hiraku Morita.<\/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

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Lektor Peter Scholl t.v. og postdoc Hiraku Morita t.h.<\/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\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Danmark g\u00e5r glip af markante forbedringer af samfundet, fordi store m\u00e6ngder f\u00f8lsomme data ikke kan deles p\u00e5 tv\u00e6rs af organisationer. Nu har et forskerhold af dataloger fundet en m\u00e5de at kryptere data, s\u00e5 de kan deles og behandles anonymt med maskinl\u00e6ring. <\/p>\n","protected":false},"author":3,"featured_media":31089,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[175,178,31],"tags":[165,63],"class_list":["post-31109","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-cybersecurity-da","category-nyheder","tag-p08-da","tag-ws2"],"yoast_head":"\nFra sundhedsdata til bankoplysninger: Forskere vil dele f\u00f8lsomme data til gavn for samfundet - 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\/fra-sundhedsdata-til-bankoplysninger-forskere-vil-dele-foelsomme-data-til-gavn-for-samfundet\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fra sundhedsdata til bankoplysninger: Forskere vil dele f\u00f8lsomme data til gavn for samfundet - DIREC\" \/>\n<meta property=\"og:description\" content=\"Danmark g\u00e5r glip af markante forbedringer af samfundet, fordi store m\u00e6ngder f\u00f8lsomme data ikke kan deles p\u00e5 tv\u00e6rs af organisationer. 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