UT Institute of Computer Science Graduation Theses Registry


Privacy Preserving Anonymization Software
Name Allan Alikas
Abstract The aim of this thesis is to compare generalization-based anonymization software in order to implement the most suitable one in the Health Sense project. Three software were included in the comparison: ARX, Amnesia, and Anonimatron. The comparison was based on 10 evaluation criteria, some of which were derived from the ISO-9421 standard, and others were based on the requirements of the Health Sense project. For the comparison, three sets of test data were compiled and used in the anonymization process. The most suitable software was ARX which was integrated into the software suite that is being developed in the Health Sense project.
Graduation Thesis language Estonian
Graduation Thesis type Bachelor - Computer Science
Supervisor(s) Sulev Reisberg
Defence year 2022
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