BlurSense: Dynamic fine-grained access control for smartphone privacy

Justin Cappos, Lai Wang, Richard Weiss, Yi Yang, Yanyan Zhuang

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

    Abstract

    For many people, smartphones serve as a technical interface to the modern world. These smart devices have embedded on-board sensors, such as accelerometers, gyroscopes, GPS sensors, and cameras, which can be used to develop new mobile applications. However, the sensors also pose privacy risks to users. This work describes BlurSense, a tool that provides secure and customizable access to all of the sensors on smartphones, tablets, and similar end user devices. The current access control to the smartphone resources, such as sensor data, is static and coarse-grained. BlurSense is a dynamic, fine-grained, flexible access control mechanism, acting as a line of defense that allows users to define and add privacy filters. As a result, the user can expose filtered sensor data to untrusted apps, and researchers can collect data in a way that safeguards users' privacy.

    Original languageEnglish (US)
    Title of host publication2014 IEEE Sensors Applications Symposium, SAS 2014 - Proceedings
    PublisherIEEE Computer Society
    Pages329-332
    Number of pages4
    ISBN (Print)9781479921805
    DOIs
    StatePublished - 2014
    Event2014 9th IEEE Sensors Applications Symposium, SAS 2014 - Queenstown, New Zealand
    Duration: Feb 18 2014Feb 20 2014

    Publication series

    Name2014 IEEE Sensors Applications Symposium, SAS 2014 - Proceedings

    Other

    Other2014 9th IEEE Sensors Applications Symposium, SAS 2014
    CountryNew Zealand
    CityQueenstown
    Period2/18/142/20/14

    Keywords

    • Sensor access control
    • data filtering
    • privacy

    ASJC Scopus subject areas

    • Computer Science Applications

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