{"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\/nl\/blog\/news\/postgresql-anonymizer-0-6-rasshirenie-dlya-anonimizaczii-dannyh-v-subd","title":{"rendered":"PostgreSQL Anonymizer 0.6, een extensie voor gegevensanonimisering in DBMS","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Beschikbaar<\/a><\/noindex> nieuwe release van het project PostgreSQL Anonymizer<\/a><\/noindex>, dat een aanvulling biedt op de database PostgreSQL, die het probleem van het verbergen of vervangen van vertrouwelijke gegevens of informatie die bedrijfsgeheimen vertegenwoordigt, oplost. Gegevens kunnen aan de fly worden verborgen op basis van speciaal gedefinieerde regels en gebruikerslijsten waarvan de verzoeken moeten worden geanonimiseerd. Code wordt verspreid<\/a><\/noindex> onder de PostgreSQL-licentie.<\/p>\n

Bijvoorbeeld, met de besproken aanvulling kan toegang tot de database worden verleend aan derden, zoals externe business analytics-diensten, terwijl tegelijkertijd gegevens zoals telefoonnummers en creditcardnummers automatisch worden verwijderd of geavanceerdere methoden worden toegepast, zoals het vervangen van de namen van klanten en bedrijven door fictieve informatie. Naast het uitvoeren van anonymisatie bij directe verbinding met de database is er een modus voorzien voor het cre\u00ebren van geanonimiseerde SQL-dumps (de pg_dump_anon-tool is voorgesteld). <\/p>\n

PostgreSQL Anonymizer breidt<\/a><\/noindex> PostgreSQL DDL (Data Definition Language) en stelt een anonimiseringsstrategie in op schema-niveau, dat de structuur van de tabel definieert. Er is een groot aantal functies beschikbaar voor het verwerken van gegevens die moeten worden vervangen: randomisatie, vervanging door fictieve waarden, gedeeltelijke scrambling<\/a><\/noindex>, shuffling, noise addition, enz. In de nieuwe versie zijn er functies toegevoegd voor het identificeren van identificatoren, en is er ook een modus voor pseudonimisering gekomen, waarmee realistische fictieve waarden kunnen worden gegenereerd die aan de oorspronkelijke gegevens zijn gekoppeld.<\/p>\n

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

Daarnaast kan het open source-platform dat door Microsoft wordt ontwikkeld voor het detecteren van lekken van vertrouwelijke informatie worden opgemerkt. Presidio<\/a><\/noindex>. Het platform maakt het mogelijk om informatie te detecteren of te verwijderen in documenten, tekst en afbeeldingen die persoonlijke en vertrouwelijke gegevens bevatten, zoals namen, telefoonnummers, e-mailadressen, creditcardnummers, cryptowallets, adressen, paspoortnummers, financi\u00eble gegevens, enz. Het ondersteunt de verwerking van verschillende opslagplaatsen (van Amazon S3 tot PostgreSQL) en formaten. De code is geschreven in Go (er is ook een Python-versie) en wordt verspreid<\/a><\/noindex> valt onder de MIT-licentie. <\/p>\n

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

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

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

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