{"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\/pt\/blog\/news\/google-otkryl-sistemu-dlya-analiza-naborov-dannyh-bez-narusheniya-konfedentsialnosti","title":{"rendered":"O Google abriu um sistema para an\u00e1lise de conjuntos de dados sem violar a confidencialidade","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A empresa Google apresentou<\/a><\/noindex> protocolo criptogr\u00e1fico de computa\u00e7\u00e3o multipartid\u00e1ria confidencial Private Join and Compute<\/a><\/noindex>, permitindo a an\u00e1lise e c\u00e1lculos em conjuntos de dados criptografados de v\u00e1rios participantes, preservando a confidencialidade dos dados de cada participante (cada participante n\u00e3o tem a capacidade de obter informa\u00e7\u00f5es sobre os dados de outros participantes, mas pode realizar c\u00e1lculos gerais sobre eles sem decripta\u00e7\u00e3o). O c\u00f3digo de implementa\u00e7\u00e3o do protocolo \u00e9 aberto<\/a><\/noindex> est\u00e3o sob a licen\u00e7a Apache 2.0.<\/p>\n

Private Join and Compute permite a transfer\u00eancia de um conjunto privado de registros para uma terceira parte, que pode analis\u00e1-lo e avaliar, de forma geral, as diferen\u00e7as com seu pr\u00f3prio conjunto, mas n\u00e3o tem a capacidade de conhecer os valores espec\u00edficos dos registros. Por exemplo, \u00e9 poss\u00edvel obter, em um conjunto de dados criptografados, informa\u00e7\u00f5es como o n\u00famero de identificadores que coincidem com seu pr\u00f3prio conjunto e a soma dos valores dos registros com identificadores coincidentes. Neste caso, n\u00e3o \u00e9 poss\u00edvel saber quais valores e identificadores est\u00e3o presentes no conjunto.<\/p>\n

O protocolo Private Join and Compute, tamb\u00e9m conhecido como Private Intersection-Sum, \u00e9 baseada<\/a><\/noindex> baseia-se na combina\u00e7\u00e3o do protocolo Transfer\u00eancia Aleat\u00f3ria Ignorante<\/a><\/noindex> (Random Oblivious Transfer), criptografados cascata.<\/a><\/noindex> e dupla mascaramento Poliga \u2014 Hellman<\/a><\/noindex>.<\/p>\n

O sistema proposto pode ser \u00fatil, por exemplo, quando uma institui\u00e7\u00e3o m\u00e9dica possui informa\u00e7\u00f5es sobre a sa\u00fade dos pacientes, enquanto outra tem dados sobre a prescri\u00e7\u00e3o de um novo medicamento de preven\u00e7\u00e3o. O protocolo \u00abPrivate Join and Compute\u00bb permite combinar conjuntos de dados criptografados sem revelar informa\u00e7\u00f5es e gerar estat\u00edsticas gerais que ajudam a entender se o medicamento prescrito reduz a incid\u00eancia de doen\u00e7as ou n\u00e3o. Outro exemplo \u00e9, com base no banco de dados de acidentes da pol\u00edcia de tr\u00e2nsito e no registro do uso de recursos de seguran\u00e7a aprimorados em ve\u00edculos, avaliar se a introdu\u00e7\u00e3o desses recursos impacta na quantidade de acidentes.<\/p>\n

Outro exemplo \u00e9 quando, com base na base de funcion\u00e1rios de uma empresa e nos dados de compras de outra, \u00e9 poss\u00edvel calcular quantos funcion\u00e1rios da primeira empresa realizaram compras na segunda e qual foi o valor total. No contexto de redes publicit\u00e1rias, \u00e9 poss\u00edvel fazer tais c\u00e1lculos para avaliar a efic\u00e1cia das campanhas publicit\u00e1rias, utilizando listas de usu\u00e1rios que receberam an\u00fancios (ou que clicaram no link) e que realizaram compras em uma loja online.<\/p>\n

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

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

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