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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 (2021):
PrivacyScore : Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites. (Postprint)
In: Lecture Notes in Computer Science, 10518, In: Privacy Technologies and Policy, pp. 178-191,
Cham, Springer, 5th Annual Privacy Forum (APF 2017), Wien, 07.-08.06.2017, ISBN 978-3-319-67279-3,
DOI: 10.26083/tuprints-00017854,
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Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Postprint
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 assessments creates an incentive for website owners to improve their sites. The public availability of a first version of PrivacyScore was announced at the ENISA Annual Privacy Forum in June 2017.

Title of Book: Privacy Technologies and Policy
Series Name: Lecture Notes in Computer Science
Volume: 10518
Place of Publication: Cham
Publisher: Springer
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Sichere Mobile Netze
DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users
Event Title: 5th Annual Privacy Forum (APF 2017)
Event Location: Wien
Event Dates: 07.-08.06.2017
Date Deposited: 07 Apr 2021 07:28
Last Modified: 07 Apr 2021 07:28
DOI: 10.26083/tuprints-00017854
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-178548
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/17854
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