Assisted Generation of Privacy Policies using Textual Patterns

Nazila Mohammadi, Jens Leicht, Ludger Goeke, Maritta Heisel

2020

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.

Paper Citation

in Harvard Style

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 - Volume 1: ENASE, ISBN 978-989-758-421-3, pages 347-358. DOI: 10.5220/0009371103470358

in Bibtex Style

@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 - Volume 1: ENASE,},
year={2020},
pages={347-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009371103470358},
isbn={978-989-758-421-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Assisted Generation of Privacy Policies using Textual Patterns
SN - 978-989-758-421-3
AU - Mohammadi N.
AU - Leicht J.
AU - Goeke L.
AU - Heisel M.
PY - 2020
SP - 347
EP - 358
DO - 10.5220/0009371103470358