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Journal Paper

Title

Internet of Vehicles: Enabling Safe, Secure, and Private Vehicular Crowdsourcing

Abstract

Safely avoiding accident prone routes is vital to maintaining safe and intelligent transportation. Real-time crowd sourcing of accident causing factors (e.g., icy roads, rain slicked road patches) combined with historical accident information can be utilized by intelligent navigation systems to avoid accident prone routes. A vehicle cloud can compute such safe routes and react faster than a centralized service given crowdsourced data such as images, sensor readings, etc. However, in addition to the intelligent routing, the security and privacy of each data owner must be provided as well. Additionally, crowdsourced information must be validated in the vehicular cloud. In this paper, we examine approaches to ensure safe, secure, and private vehicular clouds.

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Paper: PDF file of paper

Information & Date

Internet Technology Letters, , December. 2017

Authors

Josh Joy
Vince Rabsatt
Mario Gerla