{"id":35504,"date":"2019-10-31T22:04:42","date_gmt":"2019-10-31T19:04:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/google-otkryl-sistemu-dlya-analiza-naborov-dannyh-bez-narusheniya-konfedentsialnosti\/"},"modified":"2019-10-31T22:04:42","modified_gmt":"2019-10-31T19:04:42","slug":"google-otkryl-sistemu-dlya-analiza-naborov-dannyh-bez-narusheniya-konfedentsialnosti","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/google-otkryl-sistemu-dlya-analiza-naborov-dannyh-bez-narusheniya-konfedentsialnosti","title":{"rendered":"Google a ouvert un syst\u00e8me pour analyser des ensembles de donn\u00e9es sans compromettre la confidentialit\u00e9","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La soci\u00e9t\u00e9 Google pr\u00e9sent\u00e9e<\/a><\/noindex> protocole cryptographique de calcul multipartite priv\u00e9 Private Join and Compute<\/a><\/noindex>, permettant d'effectuer des analyses et des calculs sur des ensembles de donn\u00e9es chiffr\u00e9es provenant de plusieurs participants, tout en pr\u00e9servant la confidentialit\u00e9 des donn\u00e9es de chaque participant (chaque participant ne pouvant pas acc\u00e9der aux informations sur les donn\u00e9es des autres participants, mais pouvant r\u00e9aliser des calculs agr\u00e9g\u00e9s sans d\u00e9chiffrement). Le code d'impl\u00e9mentation du protocole est ouvert<\/a><\/noindex> sous licence Apache 2.0.<\/p>\n

Private Join and Compute permet de transmettre un ensemble d'enregistrements priv\u00e9s \u00e0 un tiers, qui pourra l'analyser et \u00e9valuer en termes g\u00e9n\u00e9raux les diff\u00e9rences avec son propre ensemble, sans avoir la possibilit\u00e9 de conna\u00eetre les valeurs des enregistrements sp\u00e9cifiques. Par exemple, il est possible d'obtenir dans un ensemble de donn\u00e9es chiffr\u00e9es des informations telles que le nombre d'identifiants correspondant \u00e0 son propre ensemble et les sommes des valeurs des enregistrements avec des identifiants correspondants. Cependant, il est impossible de savoir quelles valeurs et identifiants sp\u00e9cifiques sont pr\u00e9sents dans l'ensemble.<\/p>\n

Le protocole Private Join and Compute, \u00e9galement connu sous le nom de Private Intersection-Sum, fond\u00e9<\/a><\/noindex> sur la combinaison du protocole de transmission al\u00e9atoire oubliable<\/a><\/noindex> (Random Oblivious Transfer), chiffr\u00e9 Bloom<\/a><\/noindex> et double masquage Poliga \u2014 Hellman<\/a><\/noindex>.<\/p>\n

Le syst\u00e8me propos\u00e9 peut s'av\u00e9rer utile, par exemple, lorsque un \u00e9tablissement m\u00e9dical dispose d'informations sur l'\u00e9tat de sant\u00e9 des patients, tandis qu'un autre a des informations sur la prescription d'un nouveau m\u00e9dicament pr\u00e9ventif. Le protocole \u00ab Private Join and Compute \u00bb permet de combiner des ensembles de donn\u00e9es chiffr\u00e9es sans divulguer d'informations et de g\u00e9n\u00e9rer des statistiques globales, permettant ainsi d'analyser si le m\u00e9dicament prescrit r\u00e9duit l'incidence des maladies ou non. Un autre exemple est celui o\u00f9, en se basant sur la base d'accidents de la police et sur la base de l'application des dispositifs de s\u00e9curit\u00e9 avanc\u00e9s dans les voitures, on peut \u00e9valuer si l'introduction de ces dispositifs influence le nombre d'accidents.<\/p>\n

Un autre exemple est celui o\u00f9, sur la base de la base de donn\u00e9es des employ\u00e9s d'une entreprise et des donn\u00e9es d'achats d'une autre, on peut calculer combien d'employ\u00e9s de la premi\u00e8re entreprise ont effectu\u00e9 des achats dans la seconde et pour quel montant. Dans le contexte des r\u00e9seaux publicitaires, des calculs similaires peuvent \u00eatre effectu\u00e9s pour \u00e9valuer l'efficacit\u00e9 des campagnes publicitaires, en utilisant des listes d'utilisateurs \u00e0 qui la publicit\u00e9 a \u00e9t\u00e9 montr\u00e9e (ou qui ont cliqu\u00e9 sur le lien) et qui ont effectu\u00e9 des achats dans la boutique en ligne.<\/p>\n

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

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

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[…]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-35504","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Google a ouvert un syst\u00e8me pour analyser des ensembles de donn\u00e9es sans violer la confidentialit\u00e9 | ProHoster","description":"La soci\u00e9t\u00e9 Google a pr\u00e9sent\u00e9 un protocole 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