{"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\/cs\/blog\/news\/google-otkryl-kod-biblioteki-dlya-konfidentsialnoj-obrabotki-dannyh","title":{"rendered":"Google otev\u0159el k\u00f3d knihovny pro ochranu soukrom\u00ed dat","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spole\u010dnost Google publikovala<\/a><\/noindex> p\u016fvodn\u00ed texty knihovny «Differen\u010dn\u00ed soukrom\u00ed<\/a><\/noindex>» s implementac\u00ed metod diferen\u010dn\u00ed ochrany soukrom\u00ed<\/a><\/noindex>, kter\u00e9 umo\u017e\u0148uj\u00ed prov\u00e1d\u011bt statistick\u00e9 operace na souboru dat s dostate\u010dnou p\u0159esnost\u00ed, ani\u017e by bylo mo\u017en\u00e9 identifikovat jednotliv\u00e9 z\u00e1znamy v n\u011bm. K\u00f3d knihovny je naps\u00e1n v jazyce C++ a je otev\u0159en\u00fd<\/a><\/noindex> pod licenc\u00ed Apache 2.0. <\/p>\n

Anal\u00fdza pomoc\u00ed metod diferen\u010dn\u00edho soukrom\u00ed umo\u017e\u0148uje organizac\u00edm prov\u00e1d\u011bt analytick\u00e9 v\u00fdb\u011bry ze statistick\u00fdch datab\u00e1z\u00ed, ani\u017e by byla poru\u0161ena integrita dat a neumo\u017enila se identifikace konkr\u00e9tn\u00edch osob. Nap\u0159\u00edklad pro odhalen\u00ed rozd\u00edl\u016f v p\u00e9\u010di o pacienty mohou v\u00fdzkumn\u00edci dostat informace, kter\u00e9 umo\u017e\u0148uj\u00ed porovnat pr\u016fm\u011brnou dobu, kterou pacienti tr\u00e1v\u00ed v nemocnic\u00edch, ale p\u0159itom zaji\u0161\u0165uj\u00ed d\u016fv\u011brnost pacient\u016f a neumo\u017e\u0148uj\u00ed identifikaci informac\u00ed o nich.<\/p>\n

Navrhovan\u00e1 knihovna zahrnuje implementaci n\u011bkolika algoritm\u016f pro vytv\u00e1\u0159en\u00ed agregovan\u00e9 statistiky na z\u00e1klad\u011b mno\u017ein \u010d\u00edseln\u00fdch dat, kter\u00e9 obsahuj\u00ed d\u016fv\u011brn\u00e9 informace. Pro ov\u011b\u0159en\u00ed spr\u00e1vnosti algoritm\u016f je poskytov\u00e1no stochastick\u00e9 vzorkov\u00e1n\u00ed<\/a><\/noindex>. Algoritmy umo\u017e\u0148uj\u00ed prov\u00e1d\u011bt nad daty operace s\u010d\u00edt\u00e1n\u00ed, po\u010d\u00edt\u00e1n\u00ed, v\u00fdpo\u010dty pr\u016fm\u011brn\u00fdch hodnot, sm\u011brodatn\u00fdch odchylek, rozptylu a po\u0159adov\u00e9 statistiky, v\u010detn\u011b ur\u010den\u00ed minima, maxima a medi\u00e1nu. Sou\u010d\u00e1st\u00ed je tak\u00e9 implementace Laplaceova mechanismu<\/a><\/noindex>, kter\u00fd m\u016f\u017ee b\u00fdt pou\u017eit pro v\u00fdpo\u010dty, kter\u00e9 nejsou pokryt\u00e9 p\u0159edem definovan\u00fdmi algoritmy.<\/p>\n

Knihovna vyu\u017e\u00edv\u00e1 modul\u00e1rn\u00ed architekturu, kter\u00e1 umo\u017e\u0148uje roz\u0161i\u0159ovat st\u00e1vaj\u00edc\u00ed funkcionalitu a p\u0159id\u00e1vat dal\u0161\u00ed mechanismy, agrega\u010dn\u00ed funkce a n\u00e1stroje pro \u0159\u00edzen\u00ed \u00farovn\u011b d\u016fv\u011brnosti.
\nNa z\u00e1klad\u011b knihovny pro datab\u00e1zov\u00fd syst\u00e9m PostgreSQL 11 p\u0159ipraveno<\/a><\/noindex> roz\u0161\u00ed\u0159en\u00ed s sadou anonymn\u00edch agrega\u010dn\u00edch funkc\u00ed vyu\u017e\u00edvaj\u00edc\u00edch metody diferenci\u00e1ln\u00ed soukrom\u00ed — 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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