PrivacyScore: Improving privacy and security via crowd-sourced benchmarks of websites

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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.

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APA

Maass, M., Wichmann, P., Pridöhl, H., & Herrmann, D. (2017). PrivacyScore: Improving privacy and security via crowd-sourced benchmarks of websites. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10518 LNCS, pp. 178–191). Springer Verlag. https://doi.org/10.1007/978-3-319-67280-9_10

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