Preguiça, NunoHäckel, Moritz Lilleholt2024-09-242024-09-242023-01-232022-12-16http://hdl.handle.net/10362/172286In this work I examined the existing state-of-the-art methods for privacy preservation in data analytics, and then conducted an experiment to determine the feasibility of one of those tech niques, homomorphic encryption, with data analysis on real-life data. The findings of this ex periment were that homomorphic encryption is currently not feasible to use in data analytics, but a methodology that is very promising and could help keep data private in the future if certain shortcomings are addressed.engData analyticsEncryptionPrivacyHomomorphic encryptionSecurityDifferential privacyK-anonimitySecure multi-party computationsmaster thesis203316380