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Telecommunication Systems
Erschienen in: Telecommunication Systems 4/2019

18.01.2019

Breaching the privacy of connected vehicles network

verfasst von: Vladimir Kaplun, Michael Segal

Erschienen in: Telecommunication Systems | Ausgabe 4/2019

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Abstract

Connected vehicles network is designed to provide a secure and private method for drivers to use the most efficiently the roads in certain area. When dealing with the scenario of car to access points connectivity (Wi-Fi, 3G, LTE), the vehicles are connected by central authority like cloud. Thus, they can be monitored and analyzed by the cloud which can provide certain services to the driver, i.e. usage based insurance, entertainment services, navigation etc. The main objective of this work is to show that by analyzing the information about a driver which is provided to the usage based insurance companies, it is possible to get additional private data, even if the basic data in first look, seems not so harmful. In this work, we present an analysis of a novel approach for reconstructing driver’s path from other driving attributes, such as cornering events, average speed and total driving time. We show that, in some cases, it is possible to reconstruct the driver’s path, while not knowing the target point of the trip.
Vorheriger Artikel Group layer MU-MIMO for 5G wireless systems
Nächster Artikel Multiple mix zones de-correlation trajectory privacy model for road network

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Metadaten
Titel
Breaching the privacy of connected vehicles network
verfasst von
Vladimir Kaplun
Michael Segal
Publikationsdatum
18.01.2019
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 4/2019
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-018-00544-6

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