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Authors: Andrea Fieschi 1 ; 2 ; Pascal Hirmer 2 ; Christoph Stach 1 and Bernhard Mitschang 1

Affiliations: 1 Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany ; 2 Mercedes-Benz AG, Stuttgart, Germany

Keyword(s): Privacy Protection, PRISMA Systematic Literature Research, Privacy-Enhancing Techniques, Anonymization Techniques.

Abstract: Anonymization plays a crucial role in protecting personal data and ensuring information security. However, selecting the appropriate anonymization technique is a challenging task for developers, data scientists, and security practitioners due to the vast array of techniques available in both research and practice. This paper aims to assist users by offering a method for structuring a framework that helps them make informed decisions about the most appropriate anonymization techniques for their specific use cases. To achieve this, we first conduct a systematic literature review following the PRISMA guidelines to capture the current state of the art in anonymization techniques. Based on the findings from this review, we propose a conceptual organisation of anonymization techniques, designed to help users navigate the complex landscape of anonymization and choose techniques that align with their security requirements.

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Paper citation in several formats:
Fieschi, A., Hirmer, P., Stach, C. and Mitschang, B. (2025). Characterising and Categorising Anonymization Techniques: A Literature-Based Approach. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP; ISBN 978-989-758-735-1; ISSN 2184-4356, SciTePress, pages 107-118. DOI: 10.5220/0013379100003899

@conference{icissp25,
author={Andrea Fieschi and Pascal Hirmer and Christoph Stach and Bernhard Mitschang},
title={Characterising and Categorising Anonymization Techniques: A Literature-Based Approach},
booktitle={Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP},
year={2025},
pages={107-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013379100003899},
isbn={978-989-758-735-1},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP
TI - Characterising and Categorising Anonymization Techniques: A Literature-Based Approach
SN - 978-989-758-735-1
IS - 2184-4356
AU - Fieschi, A.
AU - Hirmer, P.
AU - Stach, C.
AU - Mitschang, B.
PY - 2025
SP - 107
EP - 118
DO - 10.5220/0013379100003899
PB - SciTePress

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