Cell-based privacy-friendly roadpricing
Computers & Mathematics with Applications
Provably secure and subliminal-free variant of schnorr signature
ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
Differential privacy in intelligent transportation systems
Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks
ZQL: a compiler for privacy-preserving data processing
SEC'13 Proceedings of the 22nd USENIX conference on Security
Explaining customers' willingness to use mobile network-based pay-as-you-drive insurances
International Journal of Mobile Communications
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Pay-As-You-Drive insurance schemes are establishing themselves as the future of car insurance. However, their current implementations, in which fine-grained location data are sent to insurers, entail a serious privacy risk. We present PriPAYD, a system where the premium calculations are performed locally in the vehicle, and only aggregated data are sent to the insurance company, without leaking location information. Our design is based on well-understood security techniques that ensure its correct functioning. We discuss the viability of PriPAYD in terms of cost, security, and ease of certification. We demonstrate that PriPAYD is possible through a proof-of-concept implementation that shows how privacy can be obtained at a very reasonable extra cost.