Poster: Defending against sybil devices in crowdsourced mapping services

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Crowdsourcing is a unique and practical approach to obtain personalized data and content. Its impact is especially significant in providing commentary, reviews and metadata, on a variety of location based services. In this study, we examine reliability of the Waze mapping service, and its vulnerability to a variety of locationbased attacks. Our goals are to understand the severity of the problem, shed light on the general problem of location and device authentication, and explore the efficacy of potential defenses. Our preliminary results already show that a single attacker with limited resources can cause havoc on Waze, producing "virtual" congestion and accidents, automatically re-routing user traffic, and compromising user privacy by tracking users' precise movements via software while staying undetected.

Original languageEnglish (US)
Title of host publicationMobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services
PublisherAssociation for Computing Machinery, Inc
Number of pages1
ISBN (Electronic)9781450344166
DOIs
StatePublished - Jun 25 2016
Externally publishedYes
Event14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016 - Singapore, Singapore
Duration: Jun 25 2016Jun 30 2016

Publication series

NameMobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services

Other

Other14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016
Country/TerritorySingapore
CitySingapore
Period6/25/166/30/16

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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