In the context of process mining, we are often confronted with companies willing to share their data if we can sufficiently anonymize this. However, to date, there are no well-defined plugins to do such anonymizations. Therefore, we are looking for a Master student that is willing to help us with this. Part of the project will be an in-depth investigation in existing anonymization techniques. Which techniques are available and what analysis properties do they preserve. More importantly, how difficult is it to de-anonymize the data? Another important part is the implementation of an anonymization framework in our toolset ProM. Good programming skills in Java are therefore important, no matter if you are a CSE or a Data Science student.
For more information, contact prof. Boudewijn van Dongen