Can I read Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services on EtoBox?

Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services by Gang Wang; Bolun Wang; Tianyi Wang; Ana Nika; Haitao Zheng; Ben Y. Zhao is a Computer Science article available to read on EtoBox.

What is Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services about?

Real-time crowdsourced maps, such as Waze provide timely updates on traffic, congestion, accidents, and points of interest. In this paper, we demonstrate how lack of strong location authentication allows creation of software-based Sybil devices that expose crowdsourced map systems to a variety of security and privacy attacks. Our experiments show that a single Sybil device with limited resources can cause havoc on Waze, reporting false congestion and accidents and automatically rerouting user traffic. More importantly, we describe techniques to generate Sybil devices at scale, creating armies of virtual vehicles capable of remotely tracking precise movements for large user populations while avoiding detection. To defend against Sybil devices, we propose a new approach based on co-location edges, authenticated records that attest to the one-time physical co-location of a pair of devices. Over time, co-location edges combine to form large proximity graphs that attest to physical interactions between devices, allowing scalable detection of virtual vehicles. We demonstrate the efficacy of this approach using large-scale simulations, and how they can be used to dramatically reduce the i

Who reads Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services?

Author

Gang Wang; Bolun Wang; Tianyi Wang; Ana Nika; Haitao Zheng; Ben Y. Zhao

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Published

2018

Language

EN

Field

Computer Science (Physical Sciences)