National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Data Anonymization in User Application
Zachoval, Tadeáš ; Komosný, Dan (referee) ; Benedikt, Jan (advisor)
The master thesis is focused on de-identification of personal data. The thesis consists of theoretical and practical parts. The theoretical part describes the legal view of personal data and is mainly focused on the concepts and possible de-identification methods and the difference between them. The core of the theoretical part is a description of basic and some advanced anonymization and pseudonymization techniques. The practical part of the thesis then focuses on programming an application in the Python programming language with a graphical user interface. The application implements an algorithm to generate a testing fake dataset that can be used for de-identification. However, the main functionality of the application is the anonymization and pseudonymization of personal data. For this purpose, selected de-identification techniques are applied in the application.
Personal Data and Anonymisation
Kajánková, Petra ; Loutocký, Pavel (referee) ; Míšek, Jakub (advisor)
The Bachelor thesis focuses mainly on the issue of personal data and their anonymisation. The theoretical part specifies valid Czech and European legislative documents and also introduces the issue of anonymisation. It presents also various anonymisation methods (Pseudonymisation, Anonymisation) which can be used to create anonymized data. The practical part of this thesis is a program which is able to fulfill the requirements based on European law on a specific dataset. Outgoing „personal" data from the attached program are no longer taken as personal data.
Personal Data and Anonymisation
Kajánková, Petra ; Loutocký, Pavel (referee) ; Míšek, Jakub (advisor)
The Bachelor thesis focuses mainly on the issue of personal data and their anonymisation. The theoretical part specifies valid Czech and European legislative documents and also introduces the issue of anonymisation. It presents also various anonymisation methods (Pseudonymisation, Anonymisation) which can be used to create anonymized data. The practical part of this thesis is a program which is able to fulfill the requirements based on European law on a specific dataset. Outgoing „personal" data from the attached program are no longer taken as personal data.

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