Abstract. We present an efficient secure and privacy-enhancing protocol for car access provision, named SePCAR. The protocol is fully decentralised and allows users to share their cars conveniently without sacrifising their security and privacy. It provides generation, update, revocation, and distribution mechanisms for access tokens to shared cars, as well as procedures to solve disputes and to deal with law enforcement requests, for instance in the case of car incidents. We prove that SeP-CAR meets its appropriate security and privacy requirements and that it is efficient: our practical efficiency analysis through a proof-of-concept implementation shows that SePCAR takes only 1.55 seconds for a car access provision.
Third-party applications on Facebook can collect personal data of the users who install them, but also of their friends. This raises serious privacy issues as these friends are not notified by the applications nor by Facebook and they have not given consent. This paper presents a detailed multi-faceted study on the collateral information collection of the applications on Facebook. To investigate the views of the users, we designed a questionnaire and collected the responses of 114 participants. The results show that participants are concerned about the collateral information collection and in particular about the lack of notification and of mechanisms to control the data collection. Based on real data, we compute the likelihood of collateral information collection affecting users: we show that the probability is significant and greater than 80% for popular applications such as TripAdvisor. We also demonstrate that a substantial amount of profile data can be collected by applications, which enables application providers to profile users. To investigate whether collateral information collection is an issue to users' privacy we analysed the legal framework in light of the new General Data Protection Regulation. We provide a detailed analysis of the entities involved and investigate which entity is accountable for the collateral information collection. To provide countermeasures, we propose a privacy dashboard extension that implements privacy scoring computations to enhance transparency towards collateral information collection. Furthermore, we discuss alternative solutions highlighting other countermeasures such as notification and access control mechanisms, cryptographic solutions and application auditing. To the best of our knowledge this is the first work that provides a detailed multi-faceted study of this problem and that analyses the threat of user profiling by application providers.
Abstract-This paper proposes a novel physical keyless car sharing system where users can use and share their cars without the need of physical keys. It also provides a comprehensive security and privacy analysis of such a system. It first presents a high-level model for a keyless car sharing system, describing its main entities and specifying the necessary functional requirements to allow users to share their cars (with other users) without exchanging physical keys. Based on this model and functional requirements, the paper presents a comprehensive threat analysis of the system. It focuses on the threats affecting the system's security and the users' privacy. This analysis results in a specification of an extensive set of security and privacy requirements for the system. This work can be used as a guide for a future keyless car sharing system design and as a mean to assess the security and privacy risks imposed on users by such systems.
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