ITS Using GNSS, An Assessment of Spoofing Detection Methods

Emerging Services based on global positioning systems (GPS) such as road user charging or pay as you drive are based on the Navigation Open Services that are prone to a large range of attack or fraud. This represent a real threat for these services. Known methods to counter such attacks rely on cross-checks, or on tests of predictable characteristics of the navigation signal, generally in the receiver hardware. They require evolution of the receivers, and may not catch non cooperative users that permanently substitute spoofed signal to the true signal. On the other hand, the architecture for fraud detection studied in this project promote a positioning system rather than a receiver. They excludes change to the signal or receiver design and make use of additional information from the Global Navigation Satellite System (GNSS) hardware and one or more positioning information: (1) low cost inertial and magnetic sensors, odometer; (2) metwork positioning (namely cell-id and NMR); (3) time differences; and (5) dynamic model. Results obtained by simulation show that such methods simple to implement in a mobile device or a central server in the infrastructure are efficient enough to counter elaborated frauds, and complies with the authentication requirements defined for the liability-critical applications, thus reinforcing the use of GNSS.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Bardout, Y
    • Capelle, Y
    • Duchateau, G
    • Monnerat, M
  • Conference:
  • Publication Date: 2012

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Photos; References; Tables;
  • Pagination: 14p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01496470
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 24 2013 3:38PM