{"id":73531,"date":"2020-03-10T14:42:30","date_gmt":"2020-03-10T11:42:30","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/postgresql-anonymizer-0-6-rasshirenie-dlya-anonimizaczii-dannyh-v-subd"},"modified":"2020-03-10T14:42:30","modified_gmt":"2020-03-10T11:42:30","slug":"postgresql-anonymizer-0-6-rasshirenie-dlya-anonimizaczii-dannyh-v-subd","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/postgresql-anonymizer-0-6-rasshirenie-dlya-anonimizaczii-dannyh-v-subd","title":{"rendered":"PostgreSQL Anonymizer 0.6, extensi\u00f3n para la anonimizaci\u00f3n de datos en SGBD","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Disponible<\/a><\/noindex> nueva versi\u00f3n del proyecto PostgreSQL Anonymizer<\/a><\/noindex>, que ofrece una extensi\u00f3n a la base de datos PostgreSQL, que resuelve el problema de ocultar o reemplazar datos confidenciales o informaci\u00f3n que representa secretos comerciales. Los datos pueden ocultarse din\u00e1micamente en funci\u00f3n de reglas y listas de usuarios espec\u00edficas, cuyas consultas deben ser anonimizadas. C\u00f3digo se distribuye<\/a><\/noindex> bajo la licencia de PostgreSQL.<\/p>\n

Por ejemplo, utilizando esta extensi\u00f3n se puede proporcionar acceso a la base de datos a terceros, como servicios de an\u00e1lisis de negocios, eliminando autom\u00e1ticamente datos como n\u00fameros de tel\u00e9fono y tarjetas de cr\u00e9dito, o aplicando m\u00e9todos m\u00e1s sofisticados, como reemplazar nombres de clientes y empresas con informaci\u00f3n ficticia. Adem\u00e1s de realizar la anonimizacion durante la conexi\u00f3n directa a la base de datos, se prev\u00e9 un modo de creaci\u00f3n de SQL dumps anonimizados (se ha propuesto la utilidad pg_dump_anon). <\/p>\n

PostgreSQL Anonymizer extiende<\/a><\/noindex> PostgreSQL DDL (Lenguaje de Definici\u00f3n de Datos) y permite establecer una estrategia de anonimizacion a nivel de esquemas que define la estructura de la tabla. Se proporciona un gran conjunto de funciones para el tratamiento de datos que deben ser reemplazados: aleatorizaci\u00f3n, sustituci\u00f3n por valores ficticios, parcial escrambiamiento<\/a><\/noindex>, barajado, enmascaramiento, etc. En la nueva versi\u00f3n se han a\u00f1adido funciones para detectar identificadores, as\u00ed como un modo de seudonimizaci\u00f3n que permite generar valores ficticios realistas vinculados a los datos originales.<\/p>\n

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

Adem\u00e1s, se puede mencionar la plataforma de c\u00f3digo abierto en desarrollo por Microsoft para detectar fugas de informaci\u00f3n confidencial Presidio<\/a><\/noindex>. Esta plataforma permite identificar o eliminar en documentos, textos e im\u00e1genes informaci\u00f3n que contenga datos personales y confidenciales, tales como nombres, n\u00fameros de tel\u00e9fono, correos electr\u00f3nicos, n\u00fameros de tarjetas de cr\u00e9dito, monederos criptogr\u00e1ficos, direcciones, n\u00fameros de pasaporte, datos financieros, etc. Se admite el procesamiento de varios almacenes (desde Amazon S3 hasta PostgreSQL) y formatos. El c\u00f3digo est\u00e1 escrito en Go (hay una versi\u00f3n en Python) y se distribuye<\/a><\/noindex> bajo licencia MIT. <\/p>\n

\"PostgreSQL<\/a><\/noindex><\/center><\/p>\n

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

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

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