ShinyAnonymizer: A Tool for Anonymizing Health Data

Marios Vardalachakis, Haridimos Kondylakis, Lefteris Koumakis, Angelina Kouroubali, Dimitrios Katehakis

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.

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Paper Citation


in Harvard Style

Vardalachakis M., Kondylakis H., Koumakis L., Kouroubali A. and Katehakis D. (2019). ShinyAnonymizer: A Tool for Anonymizing Health Data.In Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-368-1, pages 325-332. DOI: 10.5220/0007798603250332


in Bibtex Style

@conference{ict4awe19,
author={Marios Vardalachakis and Haridimos Kondylakis and Lefteris Koumakis and Angelina Kouroubali and Dimitrios Katehakis},
title={ShinyAnonymizer: A Tool for Anonymizing Health Data},
booktitle={Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2019},
pages={325-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007798603250332},
isbn={978-989-758-368-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - ShinyAnonymizer: A Tool for Anonymizing Health Data
SN - 978-989-758-368-1
AU - Vardalachakis M.
AU - Kondylakis H.
AU - Koumakis L.
AU - Kouroubali A.
AU - Katehakis D.
PY - 2019
SP - 325
EP - 332
DO - 10.5220/0007798603250332