Differential privacy in intelligent transportation systems

Frank Kargl, Arik Friedman, Roksana Boreli

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    18 Citations (Scopus)
    181 Downloads (Pure)

    Abstract

    In this paper, we investigate how the concept of differential privacy can be applied to Intelligent Transportation Systems (ITS), focusing on protection of Floating Car Data (FCD) stored and processed in central Traffic Data Centers (TDC). We illustrate an integration of differential privacy with privacy policy languages and policy-enforcement frameworks like the PRECIOSA PeRA architecture. Next, we identify differential privacy mechanisms to be integrated within the policy-enforcement framework and provide guidelines for the calibration of parameters to ensure specific privacy guarantees, while still supporting the level of accuracy required for ITS applications. We also discuss the challenges that the support of user-level differential privacy presents and outline a potential solution. As a result, we show that differential privacy could be put to practical use in ITS to enable strong protection of users' personal data.
    Original languageUndefined
    Title of host publicationWiSec '13 Proceedings of the sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages107-112
    Number of pages6
    ISBN (Print)978-1-4503-1998-0
    DOIs
    Publication statusPublished - 19 Apr 2013
    Event6th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2013 - Budapest, Hungary
    Duration: 17 Apr 201319 Apr 2013
    Conference number: 6

    Publication series

    Name
    PublisherACM

    Conference

    Conference6th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2013
    Abbreviated titleWiSec
    CountryHungary
    CityBudapest
    Period17/04/1319/04/13

    Keywords

    • SCS-Cybersecurity
    • EC Grant Agreement nr.: FP7/269994
    • EC Grant Agreement nr.: FP7-SEC-285477-CRISALIS
    • EWI-23385
    • Differential
    • Transportation
    • METIS-297664
    • Privacy
    • intelligent
    • intelligent transportation systems
    • IR-86140
    • ITS
    • Differential privacy
    • System(s)

    Cite this

    Kargl, F., Friedman, A., & Boreli, R. (2013). Differential privacy in intelligent transportation systems. In WiSec '13 Proceedings of the sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks (pp. 107-112). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2462096.2462114