Maass, Max ; Wichmann, Pascal ; Pridöhl, Henning ; Herrmann, Dominik (2017)
PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites.
Annual Privacy Forum 2017, Vienna
doi: 10.1007/978-3-319-67280-9_10
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (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
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Maass, Max ; Wichmann, Pascal ; Pridöhl, Henning ; Herrmann, Dominik |
| Art des Eintrags: | Bibliographie |
| Titel: | PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites |
| Sprache: | Englisch |
| Publikationsjahr: | Juni 2017 |
| Verlag: | Springer |
| Buchtitel: | Proceedings of the Annual Privacy Forum 2017 |
| Veranstaltungsort: | Annual Privacy Forum 2017, Vienna |
| DOI: | 10.1007/978-3-319-67280-9_10 |
| URL / URN: | https://arxiv.org/abs/1705.05139 |
| Zugehörige Links: | |
| Kurzbeschreibung (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 |
| Freie Schlagworte: | privacy; web; tracking |
| ID-Nummer: | TUD-CS-2017-0144 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Sichere Mobile Netze DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users |
| Hinterlegungsdatum: | 28 Jun 2017 16:15 |
| Letzte Änderung: | 03 Jul 2024 02:29 |
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| Suche nach Titel in: | TUfind oder in Google |
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PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites. (deposited 07 Apr 2021 07:28)
- PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites. (deposited 28 Jun 2017 16:15) [Gegenwärtig angezeigt]
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