Scrambling av databaser : Validering och implementering av scrambling av databas

Detta är en Kandidat-uppsats från Mittuniversitetet/Institutionen för informationssystem och –teknologi

Författare: Fredrik Öberg; [2019]

Nyckelord: Testdata; Databases; Scrambling; Java; db2; Testdata; Databas; Dcrambling; Java; db2;

Sammanfattning: The demands on how personal data is handled have recently become much more strict with new regulations such as GDPR. Which means companies need to review how they save and manage data. Furthermore, there is a whole indust- ry that works with analyzing and anonymizing databases to create testdata for companies to use for tests. How can these companies guarantee that they can hand over their database for this particular purpose. Easit AB wants a system to be built for scrambling databases so that the structure and data in the database are unrecognizable, which can then be submitted to Easit for analysis.With the main objective, using existing functionality in the Easit Test Engine ETE, see if you can scramble customers databases and data to unrecognizable so that the handover of the database can be done without risk. But also to validate the scrambling methods that the solution contains.

  HÄR KAN DU HÄMTA UPPSATSEN I FULLTEXT. (följ länken till nästa sida)