Log Data Anonymization

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 BIS or a CSE student.


For more information, contact Boudewijn van Dongen

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