Article

Pripayd: privacy friendly pay-as-you-drive insurance

Authors:

Carmela Troncoso,

George Danezis,

Bart PreneelAuthors Info & Claims

WPES '07: Proceedings of the 2007 ACM workshop on Privacy in electronic society

Pages 99 - 107

https://doi.org/10.1145/1314333.1314353

Published: 29 October 2007 Publication History

Abstract

Pay-As-You-Drive insurance systems are establishing themselves as the future of car insurance. However, their current implementations entail a serious privacy invasion. We present PriPAYD where the premium calculations are performed locally in the vehicle, and only aggregate data arrivesto the insurance company, without leaking location information. Our system is built on top of well understood security techniques that ensure its correct functioning. We discuss the viability of PriPAYD in terms of cost, security and easeof certification.

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Cited By

Adavoudi Jolfaei ABoualouache ARupp ASchiffner SEngel T(2023)A Survey on Privacy-Preserving Electronic Toll Collection Schemes for Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.326682824:9(8945-8962)Online publication date: Sep-2023
https://doi.org/10.1109/TITS.2023.3266828
Kovaceva JIsaksson-Hellman IMurgovski N(2020)Identification of aggressive driving from naturalistic data in car-following situationsJournal of Safety Research10.1016/j.jsr.2020.03.003Online publication date: Apr-2020
https://doi.org/10.1016/j.jsr.2020.03.003
Roth CAringer SPetersen JNitschke M(2020)Are Sensor-Based Business Models a Threat to Privacy? The Case of Pay-How-You-Drive Insurance ModelsTrust, Privacy and Security in Digital Business10.1007/978-3-030-58986-8_6(75-85)Online publication date: 14-Sep-2020
https://doi.org/10.1007/978-3-030-58986-8_6
Show More Cited By

Index Terms

Pripayd: privacy friendly pay-as-you-drive insurance
1. Applied computing
  1. Operations research
    1. Consumer products
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Information

Published In

cover image ACM Conferences

WPES '07: Proceedings of the 2007 ACM workshop on Privacy in electronic society

October 2007

116 pages

ISBN:9781595938831

DOI:10.1145/1314333

General Chair:
Peng Ning
North Carolina State University, USA
,
Program Chair:
Ting Yu
North Carolina State University, USA

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 29 October 2007

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CCS07

Sponsor:

CCS07: 14th ACM Conference on Computer and Communications Security 2007

October 29, 2007

Virginia, Alexandria, USA

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Overall Acceptance Rate 106 of 355 submissions, 30%

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Cited By

Adavoudi Jolfaei ABoualouache ARupp ASchiffner SEngel T(2023)A Survey on Privacy-Preserving Electronic Toll Collection Schemes for Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.326682824:9(8945-8962)Online publication date: Sep-2023
https://doi.org/10.1109/TITS.2023.3266828
Kovaceva JIsaksson-Hellman IMurgovski N(2020)Identification of aggressive driving from naturalistic data in car-following situationsJournal of Safety Research10.1016/j.jsr.2020.03.003Online publication date: Apr-2020
https://doi.org/10.1016/j.jsr.2020.03.003
Roth CAringer SPetersen JNitschke M(2020)Are Sensor-Based Business Models a Threat to Privacy? The Case of Pay-How-You-Drive Insurance ModelsTrust, Privacy and Security in Digital Business10.1007/978-3-030-58986-8_6(75-85)Online publication date: 14-Sep-2020
https://doi.org/10.1007/978-3-030-58986-8_6
Anderson R(2020)BibliographySecurity Engineering10.1002/9781119644682.biblio(1061-1141)Online publication date: 2-Dec-2020
https://doi.org/10.1002/9781119644682.biblio
Rial ADanezis GKohlweiss M(2018)Privacy-preserving smart metering revisitedInternational Journal of Information Security10.1007/s10207-016-0355-817:1(1-31)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10207-016-0355-8
Petit JDietzel SKargl F(2018)Privacy of Connected VehiclesHandbook of Mobile Data Privacy10.1007/978-3-319-98161-1_9(229-251)Online publication date: 27-Oct-2018
https://doi.org/10.1007/978-3-319-98161-1_9
Kang JNyang D(2017)A Privacy-Preserving Mobile Payment System for Mass TransitIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2016.263691918:8(2192-2205)Online publication date: Aug-2017
https://doi.org/10.1109/TITS.2016.2636919
Baecke PBocca L(2017)The value of vehicle telematics data in insurance risk selection processesDecision Support Systems10.1016/j.dss.2017.04.00998:C(69-79)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.dss.2017.04.009
Le Métayer D(2016)Whom to Trust? Using Technology to Enforce PrivacyEnforcing Privacy10.1007/978-3-319-25047-2_17(395-437)Online publication date: 20-Apr-2016
https://doi.org/10.1007/978-3-319-25047-2_17
Hansen M(2015)Das Netz im Auto & das Auto im NetzDatenschutz und Datensicherheit - DuD10.1007/s11623-015-0431-739:6(367-371)Online publication date: 31-May-2015
https://doi.org/10.1007/s11623-015-0431-7
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