Maass, Max ; Wichmann, Pascal ; Pridöhl, Henning ; Herrmann, Dominik (2021)
PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites.
5th Annual Privacy Forum (APF 2017). Wien (07.-08.06.2017)
doi: 10.26083/tuprints-00017854
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint
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 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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Maass, Max ; Wichmann, Pascal ; Pridöhl, Henning ; Herrmann, Dominik |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites |
| Sprache: | Englisch |
| Publikationsjahr: | 2021 |
| Ort: | Cham |
| Publikationsdatum der Erstveröffentlichung: | 2017 |
| Verlag: | Springer |
| Buchtitel: | Privacy Technologies and Policy |
| Reihe: | Lecture Notes in Computer Science |
| Band einer Reihe: | 10518 |
| Veranstaltungstitel: | 5th Annual Privacy Forum (APF 2017) |
| Veranstaltungsort: | Wien |
| Veranstaltungsdatum: | 07.-08.06.2017 |
| DOI: | 10.26083/tuprints-00017854 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/17854 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| 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 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. |
| Status: | Postprint |
| URN: | urn:nbn:de:tuda-tuprints-178548 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| 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: | 07 Apr 2021 07:28 |
| Letzte Änderung: | 15 Jun 2021 08:26 |
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| Suche nach Titel in: | TUfind oder in Google |
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