PrivateRide: A Privacy-Enhanced Ride-Hailing Service
Details
State: Public
Version: author
Serval ID
serval:BIB_0A93C9B366E9
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
PrivateRide: A Privacy-Enhanced Ride-Hailing Service
Journal
Proceedings on Privacy Enhancing Technologies
ISSN
2299-0984
Publication state
Published
Issued date
04/2017
Peer-reviewed
Oui
Volume
2017
Number
2
Pages
38-56
Language
english
Abstract
In the past few years, we have witnessed a rise in the popularity of ride-hailing services (RHSs), an on-line marketplace that enables accredited drivers to use their own cars to drive ride-hailing users. Unlike other transportation services, RHSs raise significant privacy concerns, as providers are able to track the precise mobility patterns of millions of riders worldwide. We present the first survey and analysis of the privacy threats in RHSs. Our analysis exposes high-risk privacy threats that do not occur in conventional taxi services. Therefore, we pro- pose PrivateRide, a privacy-enhancing and practical solu- tion that offers anonymity and location privacy for riders, and protects drivers’ information from harvesting attacks. PrivateRide lowers the high-risk privacy threats in RHSs to a level that is at least as low as that of many taxi services. Using real data-sets from Uber and taxi rides, we show that PrivateRide significantly enhances riders’ privacy, while preserving tangible accuracy in ride matching and fare calculation, with only negligible effects on convenience. Moreover, by using our Android implementation for experimental evaluations, we show that PrivateRide’s overhead during ride setup is negligible. In short, we enable privacy- conscious riders to achieve levels of privacy that are not possible in current RHSs and even in some conventional taxi services, thereby offering a potential business differentiator.
Keywords
Ride-hailing, Location privacy
Open Access
Yes
Create date
11/01/2017 11:49
Last modification date
20/08/2019 13:32