PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10518)


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.


Scanner Tracking Compliance Security Privacy Data protection 



This work has been co-funded by the DFG as part of project C.1 within the RTG 2050 “Privacy and Trust for Mobile Users”. The authors are grateful to Marvin Hebisch and Nico Vitt, who implemented a prototype, the attendants of the PET-CON 2017.1 workshop, and members of Digitalcourage e. V. for their valuable suggestions.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Secure Mobile Networking LabTechnische Universität DarmstadtDarmstadtGermany
  2. 2.Security in Distributed Systems GroupUniversität HamburgHamburgGermany

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