Maass, Max and Wichmann, Pascal and Pridöhl, Henning and Herrmann, Dominik (2017):
PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites.
In: Proceedings of the Annual Privacy Forum 2017, Springer, Annual Privacy Forum 2017, Vienna, ISBN 978-3-319-67280-9,
DOI: 10.1007/978-3-319-67280-9_10, [Online-Edition: https://arxiv.org/abs/1705.05139],
[Conference or Workshop Item]
Abstract
Website owners make conscious and unconscious decisions that affect their users, potentially exposing them to privacy and security risks in the process. In this paper we introduce PrivacyScore, an automated website scanning portal that allows anyone to benchmark security and privacy features of multiple websites. In contrast to existing projects, the checks implemented in PrivacyScore cover a wider range of potential privacy and security issues. Furthermore, users can control the ranking and analysis methodology. Therefore, PrivacyScore can also be used by data protection authorities to perform regularly scheduled compliance checks. In the long term we hope that the transparency resulting from the published benchmarks creates an incentive for website owners to improve their sites. We plan to announce the public availability of a first version of PrivacyScore at the Annual Privacy Forum in June 2017
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2017 |
| Creators: | Maass, Max and Wichmann, Pascal and Pridöhl, Henning and Herrmann, Dominik |
| Title: | PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites |
| Language: | English |
| Abstract: | Website owners make conscious and unconscious decisions that affect their users, potentially exposing them to privacy and security risks in the process. In this paper we introduce PrivacyScore, an automated website scanning portal that allows anyone to benchmark security and privacy features of multiple websites. In contrast to existing projects, the checks implemented in PrivacyScore cover a wider range of potential privacy and security issues. Furthermore, users can control the ranking and analysis methodology. Therefore, PrivacyScore can also be used by data protection authorities to perform regularly scheduled compliance checks. In the long term we hope that the transparency resulting from the published benchmarks creates an incentive for website owners to improve their sites. We plan to announce the public availability of a first version of PrivacyScore at the Annual Privacy Forum in June 2017 |
| Title of Book: | Proceedings of the Annual Privacy Forum 2017 |
| Publisher: | Springer |
| ISBN: | 978-3-319-67280-9 |
| Uncontrolled Keywords: | privacy; web; tracking |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Sichere Mobile Netze DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users |
| Event Location: | Annual Privacy Forum 2017, Vienna |
| Date Deposited: | 28 Jun 2017 16:15 |
| DOI: | 10.1007/978-3-319-67280-9_10 |
| Official URL: | https://arxiv.org/abs/1705.05139 |
| Identification Number: | TUD-CS-2017-0144 |
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