{"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\/ro\/blog\/news\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","title":{"rendered":"Google a deschis codul bibliotecii pentru procesarea confiden\u021bial\u0103 a datelor","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Google a publicat<\/a><\/noindex> textele originale ale bibliotecii «Privatitate Dintre<\/a><\/noindex>» cu implementarea metodelor privatiz\u0103rii diferen\u021biale<\/a><\/noindex>, care permit efectuarea de opera\u021bii statistice pe un set de date cu o precizie destul de ridicat\u0103, f\u0103r\u0103 a putea identifica \u00eenregistr\u0103rile individuale din acesta. Codul bibliotecii este scris \u00een C++ \u0219i a fost deschis<\/a><\/noindex> sub licen\u021ba Apache 2.0. <\/p>\n

Analiza folosind metodele de privatizare diferen\u021bial\u0103 ofer\u0103 organiza\u021biilor posibilitatea de a face selec\u021bii analitice din baze de date statistice, f\u0103r\u0103 a permite fragmentarea datelor \u0219i extrac\u021bia din informa\u021biile generale a parametrilor specifici persoanelor. De exemplu, pentru a identifica diferen\u021bele \u00een \u00eengrijirea pacien\u021bilor, cercet\u0103torii pot fi furniza\u021bi cu informa\u021bii care permit compararea mediei timpului petrecut de pacien\u021bi \u00een spitale, dar care p\u0103streaz\u0103 confiden\u021bialitatea pacien\u021bilor \u0219i nu permit extragerea de detalii despre ace\u0219tia.<\/p>\n

Biblioteca propus\u0103 include implementarea mai multor algoritmi pentru generarea statisticilor agregate pe baza seturilor de date numerice care con\u021bin informa\u021bii confiden\u021biale. Pentru a verifica corectitudinea func\u021bion\u0103rii algoritmilor, este disponibil un e\u0219antion stocastic<\/a><\/noindex>. Algoritmii permit efectuarea de opera\u021bii de sumare, num\u0103rare, calcul al valorilor medii, abaterii standard, varian\u021bei \u0219i statisticilor ordinale, inclusiv determinarea minimului, maximului \u0219i medianei. De asemenea, include implementarea mecanismului Laplace<\/a><\/noindex>, care poate fi utilizat pentru calcule care nu sunt acoperite de algoritmii predefini\u021bi.<\/p>\n

Biblioteca utilizeaz\u0103 o arhitectur\u0103 modular\u0103, care permite extinderea func\u021bionalit\u0103\u021bii existente \u0219i ad\u0103ugarea de mecanisme suplimentare, func\u021bii agregate \u0219i instrumente de gestionare a nivelului de confiden\u021bialitate.
\nPe baza bibliotecii pentru SGBD PostgreSQL 11 a fost preg\u0103tit<\/a><\/noindex> extensie cu un set de func\u021bii agregate anonime, care utilizeaz\u0103 metode de confiden\u021bialitate diferen\u021bial\u0103 — ANON_COUNT, ANON_SUM, ANON_AVG, ANON_VAR, ANON_STDDEV \u0219i ANON_NTILE.<\/p>\n

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

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

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