{"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\/pl\/blog\/news\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","title":{"rendered":"Google otworzy\u0142 kod biblioteki do prywatnego przetwarzania danych","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Firma Google opublikowa\u0142a<\/a><\/noindex> teksty \u017ar\u00f3d\u0142owe biblioteki «Prywatno\u015b\u0107 r\u00f3\u017cnicowa<\/a><\/noindex>» z implementacj\u0105 metod prywatno\u015bci r\u00f3\u017cnicowej<\/a><\/noindex>, kt\u00f3re umo\u017cliwiaj\u0105 stosunkowo dok\u0142adne wykonywanie operacji statystycznych na zbiorze danych bez mo\u017cliwo\u015bci identyfikacji poszczeg\u00f3lnych rekord\u00f3w w nim. Kody biblioteki s\u0105 napisane w j\u0119zyku C++ i otwarty<\/a><\/noindex> na licencji Apache 2.0. <\/p>\n

Analiza z wykorzystaniem metod prywatno\u015bci r\u00f3\u017cnicowej pozwala organizacjom na prowadzenie analiz danych z baz danych statystycznych, nie pozwalaj\u0105c na rozdzielenie danych i wyodr\u0119bnienie z og\u00f3lnych informacji parametr\u00f3w konkretnych os\u00f3b. Na przyk\u0142ad, aby wskaza\u0107 r\u00f3\u017cnice w opiece nad pacjentami, badacze mog\u0105 mie\u0107 dost\u0119p do informacji umo\u017cliwiaj\u0105cych por\u00f3wnanie \u015bredniego czasu pobytu pacjent\u00f3w w szpitalach, jednocze\u015bnie chroni\u0105c prywatno\u015b\u0107 pacjent\u00f3w i uniemo\u017cliwiaj\u0105c ujawnienie informacji o nich.<\/p>\n

Proponowana biblioteka zawiera implementacj\u0119 kilku algorytm\u00f3w do tworzenia zagregowanej statystyki na podstawie zbior\u00f3w danych liczbowych, kt\u00f3re zawieraj\u0105 poufne informacje. Aby sprawdzi\u0107 poprawno\u015b\u0107 dzia\u0142ania algorytm\u00f3w, udost\u0119pniany jest losowy pr\u00f3bnik<\/a><\/noindex>. Algorytmy pozwalaj\u0105 na wykonywanie na danych operacji sumowania, zliczania, obliczania \u015brednich, odchyle\u0144 standardowych, wariancji oraz statystyki porz\u0105dkowej, w tym okre\u015blenie minimum, maksimum i mediany. W pakiecie znajduje si\u0119 r\u00f3wnie\u017c implementacja mechanizmu Laplace'a<\/a><\/noindex>, kt\u00f3ry mo\u017ce by\u0107 u\u017cywany do oblicze\u0144, kt\u00f3re nie s\u0105 obj\u0119te zdefiniowanymi algorytmami.<\/p>\n

Biblioteka wykorzystuje architektur\u0119 modu\u0142ow\u0105, co pozwala na rozszerzenie istniej\u0105cej funkcjonalno\u015bci i dodawanie dodatkowych mechanizm\u00f3w, funkcji agreguj\u0105cych i narz\u0119dzi do zarz\u0105dzania poziomem poufno\u015bci.
\nNa bazie biblioteki dla systemu zarz\u0105dzania baz\u0105 danych PostgreSQL 11 opracowano<\/a><\/noindex> rozszerzenie z zestawem anonimowych funkcji agreguj\u0105cych, wykorzystuj\u0105cych metody r\u00f3\u017cnicowej prywatno\u015bci — ANON_COUNT, ANON_SUM, ANON_AVG, ANON_VAR, ANON_STDDEV i ANON_NTILE.<\/p>\n

<\/a><\/noindex><\/p>\n

\u0179r\u00f3d\u0142o: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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