{"id":100519,"date":"2021-06-15T16:22:49","date_gmt":"2021-06-15T14:22:50","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-otkryl-instrumentarij-dlya-polnogo-gomomorfnogo-shifrovaniya"},"modified":"2021-06-15T16:22:49","modified_gmt":"2021-06-15T14:22:50","slug":"google-otkryl-instrumentarij-dlya-polnogo-gomomorfnogo-shifrovaniya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/google-otkryl-instrumentarij-dlya-polnogo-gomomorfnogo-shifrovaniya","title":{"rendered":"Google ha abierto un conjunto de herramientas para cifrado homom\u00f3rfico completo","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La empresa Google ha publicado un conjunto abierto de bibliotecas y utilidades con la implementaci\u00f3n de un sistema de cifrado homom\u00f3rfico completo, que permite procesar datos cifrados que no aparecen en forma abierta en ninguna etapa de los c\u00e1lculos. La herramienta permite crear programas para c\u00e1lculos confidenciales que pueden trabajar con datos sin desencriptarlos, incluido realizar operaciones matem\u00e1ticas y simples de cadenas sobre datos cifrados. El c\u00f3digo del proyecto est\u00e1 escrito en C++ y se distribuye bajo la licencia Apache 2.0. <\/p>\n

A diferencia del cifrado de extremo a extremo, el cifrado homom\u00f3rfico, adem\u00e1s de proteger la transmisi\u00f3n de datos, proporciona la posibilidad de procesar datos sin necesidad de desencriptarlos. Por homomorfismo completo se entiende la capacidad de realizar operaciones de suma y multiplicaci\u00f3n sobre datos cifrados, a partir de las cuales se pueden implementar c\u00e1lculos arbitrarios. El resultado de salida es un resultado cifrado que ser\u00eda equivalente al cifrar el resultado de operaciones similares sobre los datos originales. <\/p>\n

El trabajo con datos en cifrado homom\u00f3rfico se reduce a que el usuario cifra los datos y, sin revelar las claves, los env\u00eda para su procesamiento a un servicio externo. Este servicio realiza los c\u00e1lculos solicitados y genera un resultado cifrado, sin poder determinar con qu\u00e9 datos espec\u00edficos est\u00e1 trabajando. El usuario utiliza sus claves para desencriptar los datos emitidos y obtener el resultado en forma abierta.

\"Google<\/center> <\/p>\n

Las \u00e1reas de aplicaci\u00f3n del cifrado homom\u00f3rfico incluyen la creaci\u00f3n de servicios en la nube para c\u00e1lculos confidenciales, la implementaci\u00f3n de sistemas de votaci\u00f3n electr\u00f3nica, la creaci\u00f3n de protocolos de enrutamiento anonimizado y el procesamiento de consultas sobre datos cifrados en sistemas de gesti\u00f3n de bases de datos, as\u00ed como el entrenamiento confidencial de sistemas de aprendizaje autom\u00e1tico. <\/p>\n

Por ejemplo, la criptograf\u00eda homom\u00f3rfica resultar\u00e1 \u00fatil en aplicaciones m\u00e9dicas que podr\u00e1n recibir informaci\u00f3n confidencial de los pacientes de forma cifrada y ofrecer a los m\u00e9dicos la capacidad de realizar an\u00e1lisis y detectar desviaciones sin necesidad de descifrarla. La criptograf\u00eda homom\u00f3rfica tambi\u00e9n puede ayudar en la realizaci\u00f3n de investigaciones que estudian la relaci\u00f3n entre enfermedades y ciertas mutaciones gen\u00e9ticas, donde es necesario analizar miles de muestras de informaci\u00f3n gen\u00e9tica. <\/p>\n

Una caracter\u00edstica distintiva de las herramientas publicadas es la posibilidad de crear programas para procesar datos cifrados, utilizando patrones de desarrollo t\u00edpicos en el lenguaje C++. Con el transpiler proporcionado, el programa en C++ se transforma en un dialecto especial FHE-C++ capaz de trabajar con datos cifrados.

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

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