{"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\/et\/blog\/news\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","title":{"rendered":"Google avas andmete konfidentsiaalse t\u00f6\u00f6tlemise teegi koodi.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google'i ettev\u00f5te avalikustas<\/a><\/noindex> algoritmide teekond «Differential Privacy<\/a><\/noindex>» meetodite rakenduse diferentseeritud privaatsus<\/a><\/noindex>, mis v\u00f5imaldavad piisava t\u00e4psusega statistilisi operatsioone andmehulkade \u00fcle, ilma et oleks v\u00f5imalik tuvastada \u00fcksikuid kirjeid. Raamatukogu kood on kirjutatud C++ keeles ja avatud<\/a><\/noindex> lisensiga Apache 2.0. <\/p>\n

Diferentsiaalsete privaatsuse meetodite abil anal\u00fc\u00fcs v\u00f5imaldab organisatsioonidel teha anal\u00fc\u00fctilisi valimisi statistilistest andmebaasidest, ilma et oleks v\u00f5imalik andmeid jagada ja tuvastada konkreetsete isikute parameetreid \u00fcldisest informatsioonist. N\u00e4iteks, haiglapatsientide hoolduse erinevuste tuvastamiseks v\u00f5ivad teadlased saada teavet, mis v\u00f5imaldab v\u00f5rrelda patsientide keskmist viibimisaega haiglates, kaitstes samas patsientide privaatsust ja v\u00e4ltides teabe tuvastamist.<\/p>\n

Pakutav raamatukogu sisaldab mitme algoritmi rakendamist, et luua koondstatistikat numbriliste andmehulkade p\u00f5hjal, sealhulgas konfidentsiaalset teavet. Algoritmide t\u00f6\u00f6 kontrollimiseks on saadaval stohhastiline proovi<\/a><\/noindex>. Algoritmid v\u00f5imaldavad andmetega teostada summeerimise, arvestamise, keskmiste v\u00e4\u00e4rtuste, keskmise kvadratilise k\u00f5rvalekalde, dispersiooni ning j\u00e4rjestikuse statistika m\u00e4\u00e4ramist, sealhulgas minimaalsete, maksimaalsete ja mediaanide m\u00e4\u00e4ramist. Samuti on roboteeritud Laplace'i mehhanism<\/a><\/noindex>, mida saab kasutada arvutustes, mis ei ole kaetud etten\u00e4htud algoritmidega.<\/p>\n

Raamatukogu kasutab modulaarset arhitektuuri, mis v\u00f5imaldab olemasolevat funktsionaalsust laiendada ja lisada t\u00e4iendavaid mehhanisme, agregaatfunktsioone ja konfidentsiaalsuse taseme juhtimise vahendeid.
\nRaamatukogul, mis on m\u00f5eldud PostgreSQL 11 andmebaasile, on ette valmistatud<\/a><\/noindex> laiendus anon\u00fc\u00fcmsete agregaatfunktsioonidega, mis kasutavad diferentseeritud privaatsuse meetodeid — ANON_COUNT, ANON_SUM, ANON_AVG, ANON_VAR, ANON_STDDEV ja ANON_NTILE.<\/p>\n

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

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

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