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Authors: Nazila Mohammadi ; Jens Leicht ; Ludger Goeke and Maritta Heisel

Affiliation: Paluno - The Ruhr Institute for Software Technology, University of Duisburg, Essen, Germany

ISBN: 978-989-758-421-3

ISSN: 2184-4895

Keyword(s): Data Protection, Pattern-based Approach, Textual Patterns, Privacy Policy.

Abstract: To comply with data protection legislation, privacy policies are a widely used approach and an important legal foundation for data handling. These policies are created by service providers. The creation of a privacy policy for a service is time consuming and compliance with legislation is hard to ensure. According to the General Data Protection Regulation of the European Union, service providers should provide a transparent privacy policy in a comprehensible way for end-users. This paper provides an approach for Assisted Generation of Privacy Policies Using Textual Patterns. We also provide a proof of concept implementation of a tool for the privacy policy generation approach. The proposed approach supports service providers in their task of providing a comprehensible privacy policy which allows better transparency.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mohammadi, N.; Leicht, J.; Goeke, L. and Heisel, M. (2020). Assisted Generation of Privacy Policies using Textual Patterns. In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE, ISBN 978-989-758-421-3; ISSN 2184-4895, pages 347-358. DOI: 10.5220/0009371103470358

@conference{enase20,
author={Nazila Mohammadi. and Jens Leicht. and Ludger Goeke. and Maritta Heisel.},
title={Assisted Generation of Privacy Policies using Textual Patterns},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE,},
year={2020},
pages={347-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009371103470358},
isbn={978-989-758-421-3},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE,
TI - Assisted Generation of Privacy Policies using Textual Patterns
SN - 978-989-758-421-3
IS - 2184-4895
AU - Mohammadi, N.
AU - Leicht, J.
AU - Goeke, L.
AU - Heisel, M.
PY - 2020
SP - 347
EP - 358
DO - 10.5220/0009371103470358

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