loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Keyword(s): Personal Health Data, Security, Privacy, Data Anonymization.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.179.138

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - ICT4AWE; ISBN 978-989-758-368-1; ISSN 2184-4992, SciTePress, pages 325-332. DOI: 10.5220/0007798603250332

@conference{ict4awe19,
author={Marios Vardalachakis. and Haridimos Kondylakis. and Lefteris Koumakis. and Angelina Kouroubali. and Dimitrios G. 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 - ICT4AWE},
year={2019},
pages={325-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007798603250332},
isbn={978-989-758-368-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE
TI - ShinyAnonymizer: A Tool for Anonymizing Health Data
SN - 978-989-758-368-1
IS - 2184-4992
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
PB - SciTePress