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Stealthy Privacy Attacks Against Mobile AR Apps

  • Sarah M. Lehman
  • , Abrar S. Alrumayh
  • , Haibin Ling
  • , Chiu C. Tan
    • Temple University
    • Stony Brook University

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations

    Abstract

    The proliferation of mobile augmented reality applications and the toolkits to create them have serious implications for user privacy. In this paper, we explore how malicious AR app developers can leverage capabilities offered by commercially available AR libraries, and describe how edge computing can be used to address this privacy problem.

    Original languageEnglish
    Title of host publication2020 IEEE Conference on Communications and Network Security, CNS 2020
    ISBN (Electronic)9781728147604
    DOIs
    StatePublished - Jun 2020
    Event2020 IEEE Conference on Communications and Network Security, CNS 2020 - Virtual, Online, France
    Duration: 29 Jun 2020 → 1 Jul 2020

    Publication series

    Name2020 IEEE Conference on Communications and Network Security, CNS 2020

    Conference

    Conference2020 IEEE Conference on Communications and Network Security, CNS 2020
    Country/TerritoryFrance
    CityVirtual, Online
    Period29/06/20 → 1/07/20

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