Thesis topic:

Review of privacy analysis tools

• Supervisor: Mariia Bahktina
  • contact: mariia.bakhtina@ut.ee
• Motivation: The shift to data-driven decision-making brings opportunities to organisations. However, reliance on sensitive data about identifiable persons poses the obligation to cope with data privacy management concerning the local legislation. As the EU's privacy protection regulation (i.e. GDPR) has gained its power relatively recently, no established procedures or frameworks guide privacy analysis and assurance.
• Aim: The study’s primary goal is to identify and assess the existing state-of-the-art tools which organisations could use as a part of their tool sets for ensuring sensitive data privacy in a business process with collaborative data processing.
• Tasks:
  • Conduct a literature review to define a set of privacy analysis tools
  • Compare the objectives, prerequisites, output, and methodologies of the tools

<< back