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Scrambling av databaser: Validering och implementering av scrambling av databas
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

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.

Abstract [sv]

Kraven hur personlig data hanteras har på senare tid blivit mycket mer strikta med nya förordningar som GDPR. Vilket betyder att företag måste se över hur dom spara och hanterar data. Vidare så finns det en hel bransch som jobbar med att analysera och anonymisera databaser för att skapa testdata för företag att an- vända för tester. Hur kan dessa företag garantera att de kan lämna över deras da- tabas för just detta. Easit AB vill att ett system ska byggas för att scrambla data- baser så att struktur och data i databasen är oigenkännligt som sedan kan läm- nas över till Easit för analysering. Med Huvudmålet att med hjälp av befintlig funktionalitet i Easit Test Engine ETE kunna scrambla kunders databaser och data till oigenkännlighet så att överlämning av databasen kan ske utan risk för tester. Men även att validera de scramblingmetoder som lösningen innehåller.

Place, publisher, year, edition, pages
2019. , p. 31
Keywords [en]
Testdata, Databases, Scrambling, Java, db2
Keywords [sv]
Testdata, Databas, Dcrambling, Java, db2
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:miun:diva-36580Local ID: DT-V19-G3-008OAI: oai:DiVA.org:miun-36580DiVA, id: diva2:1333327
Subject / course
Computer Engineering DT1
Educational program
Master of Science in Engineering - Computer Engineering TDTEA 300 higher education credits
Supervisors
Examiners
Available from: 2019-07-01 Created: 2019-07-01 Last updated: 2019-08-22Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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