Maass, Max ; Wichmann, Pascal ; Pridöhl, Henning ; 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,
[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 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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2021 |
| Creators: | Maass, Max ; Wichmann, Pascal ; Pridöhl, Henning ; Herrmann, Dominik |
| 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. |
| Book Title: | Privacy Technologies and Policy |
| Series: | Lecture Notes in Computer Science |
| Series Volume: | 10518 |
| Place of Publication: | Cham |
| Publisher: | Springer |
| ISBN: | 978-3-319-67279-3 |
| 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 Title: | 5th Annual Privacy Forum (APF 2017) |
| Event Location: | Wien |
| Event Dates: | 07.-08.06.2017 |
| Date Deposited: | 07 Apr 2021 07:28 |
| DOI: | 10.26083/tuprints-00017854 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/17854 |
| URN: | urn:nbn:de:tuda-tuprints-178548 |
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