About Privacy-Preserving Data Publishing

Our data gets collected everyday by governments and different organizations for datamining. Since it is often not known who the receiving part of data is and whether data receiver can be trusted and therefore it is necessary to anonymize data in a way what it would be not possible to identify persons from released data sets. The purpose of Privacy-Preserving Data Publishing is to anonymize data while preserving it's usefulness for dataminers.

Getting started

The purpose of this software is to offer students opportunity to practise data anonymization methods. This program will guide you step by step trough data anonymization process. The data anonymization process consists of following steps:

1. Selection of table and anonymization method,
2. In case of of Multirelational k-Anonymity joining the tables together (this step will be skipped in other cases),
3. Specification of column types (Identifier (ID), Quasi-Identifier (QID), Sensitive Information, Non-sensitive Information),
4. Specification of anonymization operations for each column
5. Displaying the results.

In each step you will be given instructions on how to complete this step. After successfully finishing all the steps you will be able to see anonymized version of your data table.

• To get started with Privacy-Preserving Data Publishing practical simply click on Open button left. Further instructions will be shown to you when you have clicked on button Open.
• If you wish to use your own data table in addition to built-in data tables click on Import button left.
• To save anonymized table, click on Export to CSV button left.

Tasks

You are required to complete 9 tasks using this software. You will find tasks with questions from /quiz.