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Computational Biomedicine Laboratory, FORTH-ICS, Heraklion, Crete, Greece, Center for eHealth Applications and Services, FORTH-ICS, Heraklion, Crete and Greece

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1 Papers

ShinyAnonymizer: A Tool for Anonymizing Health Data

Topic: Data Analytics and Health

Authors: Marios Vardalachakis ¹ , Haridimos Kondylakis ¹ , Lefteris Koumakis ¹ , Angelina Kouroubali ² and Dimitrios G. Katehakis ³

Affiliations: ¹ Computational Biomedicine Laboratory, FORTH-ICS, Heraklion, Crete, Greece, Department of Informatics Engineering, Technological Educational Institute of Crete and Greece , ² Computational Biomedicine Laboratory, FORTH-ICS, Heraklion, Crete and Greece , ³ Computational Biomedicine Laboratory, FORTH-ICS, Heraklion, Crete, Greece, Center for eHealth Applications and Services, FORTH-ICS, Heraklion, Crete and Greece

Digital Object Identifier: 10.5220/0007798603250332

Proceedings of ICT4AWE 2019, ISBN: 978-989-758-368-1

Quick Abstract

Processing and managing sensitive health data requires a high standard of security and privacy measures to ensure that all ethical and legal requirements are respected. Data anonymization is one of the key technologies to this purpose. However, the plethora and the complexity of the available anonymization techniques make it difficult for a non-expert to select and apply the appropriate technique. In this paper, we report on Shiny Database Anonymizer, a tool enabling the easy and flexible anonymization of available health data, providing access to state of the art anonymization techniques, incorporating also multiple data analysis visualization paradigms. In addition, a number of encryption and hashing techniques are presented.