{"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\/sk\/blog\/news\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","title":{"rendered":"Google otvoril zdrojov\u00fd k\u00f3d kni\u017enice na ochranu s\u00fakromia d\u00e1t","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spolo\u010dnos\u0165 Google publikovala<\/a><\/noindex> p\u00f4vodn\u00e9 texty kni\u017enice «Differential Privacy<\/a><\/noindex>» s implement\u00e1ciou met\u00f3d diferenci\u00e1lnej ochrany s\u00fakromia<\/a><\/noindex>, ktor\u00e9 umo\u017e\u0148uj\u00fa s dostato\u010dne vysokou presnos\u0165ou vykon\u00e1va\u0165 \u0161tatistick\u00e9 oper\u00e1cie nad s\u00faborom \u00fadajov bez mo\u017enosti identifik\u00e1cie jednotliv\u00fdch z\u00e1znamov v \u0148om. K\u00f3d kni\u017enice je nap\u00edsan\u00fd v jazyku C++ a spr\u00edstupnen\u00fd<\/a><\/noindex> pod licenciou Apache 2.0. <\/p>\n

Anal\u00fdza s pou\u017eit\u00edm met\u00f3d diferenci\u00e1lnej ochrany s\u00fakromia umo\u017e\u0148uje organiz\u00e1ci\u00e1m vykon\u00e1va\u0165 analytick\u00e9 v\u00fdbery zo \u0161tatistick\u00fdch DB, pri\u010dom nedovo\u013euje rozdeli\u0165 \u00fadaje a vy\u010dleni\u0165 z celkov\u00fdch inform\u00e1ci\u00ed parametre konkr\u00e9tnych os\u00f4b. Napr\u00edklad na identifik\u00e1ciu rozdielov v starostlivosti o pacientov m\u00f4\u017eu v\u00fdskumn\u00edci z\u00edska\u0165 inform\u00e1cie, ktor\u00e9 umo\u017enia porovna\u0165 priemern\u00fd \u010das hospitaliz\u00e1cie pacientov, pri\u010dom zachov\u00e1vaj\u00fa d\u00f4vernos\u0165 pacientov a neumo\u017e\u0148uj\u00fa vy\u010dleni\u0165 \u00fadaje o nich.<\/p>\n

Navrhnut\u00e1 kni\u017enica obsahuje implement\u00e1ciu nieko\u013ek\u00fdch algoritmov na vytv\u00e1ranie agregovanej \u0161tatistiky na z\u00e1klade s\u00faborov \u010d\u00edseln\u00fdch \u00fadajov, ktor\u00e9 obsahuj\u00fa citliv\u00e9 inform\u00e1cie. Na overenie spr\u00e1vnosti pr\u00e1ce algoritmov je poskytovan\u00fd stochastick\u00fd vzorka<\/a><\/noindex>. Algoritmy umo\u017e\u0148uj\u00fa vykon\u00e1va\u0165 nad \u00fadajmi oper\u00e1cie s\u010d\u00edta\u0165, po\u010d\u00edta\u0165, vypo\u010d\u00edtava\u0165 priemern\u00e9 hodnoty, \u0161tandardn\u00e9 odch\u00fdlky, rozpt\u00fdlenie a poradie \u0161tatistiky, vr\u00e1tane ur\u010denia minima, maxima a medi\u00e1nu. S\u00fa\u010das\u0165ou je tie\u017e implement\u00e1cia Laplaceho mechanizmu<\/a><\/noindex>, ktor\u00fd m\u00f4\u017ee by\u0165 pou\u017eit\u00fd na v\u00fdpo\u010dty, ktor\u00e9 nie s\u00fa pokryt\u00e9 preddefinovan\u00fdmi algoritmami.<\/p>\n

Kni\u017enica pou\u017e\u00edva modul\u00e1rnu architekt\u00faru, ktor\u00e1 umo\u017e\u0148uje roz\u0161irova\u0165 existuj\u00facu funkcionalitu a prid\u00e1va\u0165 \u010fal\u0161ie mechanizmy, agrega\u010dn\u00e9 funkcie a prostriedky na riadenie \u00farovne d\u00f4vernosti.
\nNa z\u00e1klade kni\u017enice pre DBMS PostgreSQL 11 pripraven\u00fdch<\/a><\/noindex> roz\u0161\u00edrenie s jedn\u00fdm s\u00faborom anonymn\u00fdch agreg\u00e1tnych funkci\u00ed vyu\u017e\u00edvaj\u00facich met\u00f3dy diferenci\u00e1lnej ochrany s\u00fakromia — ANON_COUNT, ANON_SUM, ANON_AVG, ANON_VAR, ANON_STDDEV a ANON_NTILE.<\/p>\n

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

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

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