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PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites

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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