{"id":37838,"date":"2019-10-31T22:20:06","date_gmt":"2019-10-31T19:20:06","guid":{"rendered":"https:\/\/prohoster.info\/blog\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh\/"},"modified":"2019-10-31T22:20:06","modified_gmt":"2019-10-31T19:20:06","slug":"google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","status":"publish","type":"post","link":"https:\/\/prohoster.info\/nl\/blog\/news\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","title":{"rendered":"Google heeft de code van de bibliotheek voor vertrouwelijke gegevensverwerking vrijgegeven.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Google <noindex><a rel=\"nofollow\" href=\"https:\/\/developers.googleblog.com\/2019\/09\/enabling-developers-and-organizations.html\">heeft gepubliceerd<\/a><\/noindex> bronnen teksten van de bibliotheek &#171;<noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/differential-privacy\/\">Differential Privacy<\/a><\/noindex>&#187; met de implementatie van methoden <noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/%D0%94%D0%B8%D1%84%D1%84%D0%B5%D1%80%D0%B5%D0%BD%D1%86%D0%B8%D0%B0%D0%BB%D1%8C%D0%BD%D0%B0%D1%8F_%D0%BF%D1%80%D0%B8%D0%B2%D0%B0%D1%82%D0%BD%D0%BE%D1%81%D1%82%D1%8C\">differenti\u00eble privacy<\/a><\/noindex>, waarmee statistische bewerkingen op datasets met voldoende nauwkeurigheid kunnen worden uitgevoerd zonder dat individuele records ge\u00efdentificeerd kunnen worden. De code van de bibliotheek is geschreven in C++ en <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/differential-privacy\/\">is er onbeperkt en gratis toegang geopend tot de yum-repository met binaire pakketupdates met bugfixes (errata) en beveiligingsproblemen.<\/a><\/noindex> onder de Apache 2.0-licentie. <\/p>\n<p>Analyseren met behulp van methoden van differenti\u0451le privacy stelt organisaties in staat om analytische steekproeven uit statistische databases te maken zonder de gegevens te splitsen en specifieke gegevens van individuen uit de algemene informatie te isoleren. Bijvoorbeeld, om verschillen in de zorg voor pati\u00ebnten te identificeren, kan onderzoekers informatie worden verstrekt waarmee het gemiddelde aantal dagen dat pati\u00ebnten in ziekenhuizen verblijven kan worden vergeleken, terwijl de privacy van de pati\u00ebnten behouden blijft en het niet mogelijk is om informatie over hen te isoleren.<\/p>\n<p>De voorgestelde bibliotheek bevat de implementatie van verschillende algoritmen voor het genereren van geaggregeerde statistieken op basis van sets numerieke gegevens die vertrouwelijke informatie bevatten. Voor de validatie van de werking van de algoritmen wordt een <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/differential-privacy\/tree\/master\/differential_privacy\/testing\">stochastische steekproever<\/a><\/noindex>geleverd. De algoritmen stellen in staat om operaties uit te voeren op de gegevens zoals optellen, tellen, gemiddelde waarden berekenen, standaarddeviatie, variantie en ordening van statistieken, inclusief het bepalen van minimum, maximum en mediaan. Daarnaast is er een implementatie van <noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/%D0%94%D0%B8%D1%84%D1%84%D0%B5%D1%80%D0%B5%D0%BD%D1%86%D0%B8%D0%B0%D0%BB%D1%8C%D0%BD%D0%B0%D1%8F_%D0%BF%D1%80%D0%B8%D0%B2%D0%B0%D1%82%D0%BD%D0%BE%D1%81%D1%82%D1%8C#%D0%9C%D0%B5%D1%85%D0%B0%D0%BD%D0%B8%D0%B7%D0%BC_%D0%9B%D0%B0%D0%BF%D0%BB%D0%B0%D1%81%D0%B0\">het Laplace-mechanisme<\/a><\/noindex>, dat kan worden gebruikt voor berekeningen die niet worden gedekt door de vooraf gedefinieerde algoritmen.<\/p>\n<p>De bibliotheek maakt gebruik van een modulaire architectuur die het mogelijk maakt om de bestaande functionaliteit uit te breiden en extra mechanismen, aggregatiefuncties en middelen voor het beheer van vertrouwelijkheidsniveaus toe te voegen.<br \/>\nOp basis van de bibliotheek is er voor de PostgreSQL 11 database <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/differential-privacy\/tree\/master\/differential_privacy\/postgres\">voorbereid<\/a><\/noindex> uitbreiding met een set anonieme aggregatiefuncties die gebruikmaken van differenti\u00eble privacy-methoden &#8212; ANON_COUNT, ANON_SUM, ANON_AVG, ANON_VAR, ANON_STDDEV en ANON_NTILE.<\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Bron: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51429\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0442\u0435\u043a\u0441\u0442\u044b \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 &#171;Differential Privacy&#187; \u0441 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0434\u0438\u0444\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u0439 \u043f\u0440\u0438\u0432\u0430\u0442\u043d\u043e\u0441\u0442\u0438, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0445 \u0441 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u0432\u044b\u0441\u043e\u043a\u043e\u0439 \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u044c\u044e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u043d\u0430\u0434 \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0431\u0435\u0437 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0438\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0432 \u043d\u0451\u043c. \u041a\u043e\u0434 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 C++ \u0438 \u043e\u0442\u043a\u0440\u044b\u0442 \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0. \u0410\u043d\u0430\u043b\u0438\u0437 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0434\u0438\u0444\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u0439 \u043f\u0440\u0438\u0432\u0430\u0442\u043d\u043e\u0441\u0442\u0438 \u0434\u0430\u0451\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f\u043c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u044c \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0432\u044b\u0431\u043e\u0440\u043a\u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-37838","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0442\u0435\u043a\u0441\u0442\u044b \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 &quot;\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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