2020
DOI: 10.2478/popets-2020-0046
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P4TC—Provably-Secure yet Practical Privacy-Preserving Toll Collection

Abstract: Electronic toll collection (ETC) is widely used all over the world not only to finance our road infrastructures, but also to realize advanced features like congestion management and pollution reduction by means of dynamic pricing. Unfortunately, existing systems rely on user identification and allow tracing a user’s movements. Several abuses of this personalized location data have already become public. In view of the planned Europeanwide interoperable tolling system EETS and the new EU General Data Protection… Show more

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Cited by 9 publications
(7 citation statements)
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“…Most (partially) blind signature schemes in fact satisfy both of them. This is in particular the case 10 for the schemes of Abe and Okamoto [2,20] (but not for the blind signature scheme underlying the Idemix attribute based credential scheme [18,4]).…”
Section: Two Faces Of Blindness Chaum Explained Blind Signatures Intu...mentioning
confidence: 99%
See 2 more Smart Citations
“…Most (partially) blind signature schemes in fact satisfy both of them. This is in particular the case 10 for the schemes of Abe and Okamoto [2,20] (but not for the blind signature scheme underlying the Idemix attribute based credential scheme [18,4]).…”
Section: Two Faces Of Blindness Chaum Explained Blind Signatures Intu...mentioning
confidence: 99%
“…Details will vary depending on the particular blind signature scheme used. 10 The (partial) blindness property is defined using a game where two messages m 0 and m 1 are randomly assigned to two users (based on a random bit b). Each user then requests a blind signature on its message from the signer.…”
Section: Dealing With Failuresmentioning
confidence: 99%
See 1 more Smart Citation
“…PPETC leaking minimal information. To address these issues, several privacy-preserving ETC (PPETC) schemes have been proposed so far, e.g., [2,10,15,31,34] (cf. Section 10 for an overview).…”
Section: Introductionmentioning
confidence: 99%
“…Examples include -auctions (protecting the bids' confidentiality) [8], -contact discovery (protecting the contacts' confidentiality) [35], -toll collection (protecting e.g. location data) [21], -medicine (protecting highly sensitive data such as (parts of) the genome) [3,48], -electronic payment (ensuring privacy and e.g. unlinkability) or [7], -voting (e.g.…”
Section: Introductionmentioning
confidence: 99%