Multi-receiver GPS spoofing detection

Error models and realization

Kai Jansen, Nils Ole Tippenhauer, Christina Poepper

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

    Abstract

    Spoofing is a serious threat to the widespread use of Global Navigation Satellite Systems (GNSSs) such as GPS and can be expected to play an important role in the security of many future IoT systems that rely on time, location, or navigation information. In this paper, we focus on the technique of multi-receiver GPS spoofing detection, so far only proposed theoretically. This technique promises to detect malicious spoofing signals by making use of the reported positions of several GPS receivers deployed in a fixed constellation. We scrutinize the assumptions of prior work, in particular the error models, and investigate how these models and their results can be improved due to the correlation of errors at co-located receiver positions. We show that by leveraging spatial noise correlations, the false acceptance rate of the countermeasure can be improved while preserving the sensitivity to attacks. As a result, receivers can be placed significantly closer together than previously expected, which broadens the applicability of the countermeasure. Based on theoretical and practical investigations, we build the first realization of a multi-receiver countermeasure and experimentally evaluate its performance both in authentic and in spoofing scenarios.

    Original languageEnglish (US)
    Title of host publicationProceedings - 32nd Annual Computer Security Applications Conference, ACSAC 2016
    PublisherAssociation for Computing Machinery
    Pages237-250
    Number of pages14
    Volume5-9-December-2016
    ISBN (Electronic)9781450347716
    DOIs
    StatePublished - Dec 5 2016
    Event32nd Annual Computer Security Applications Conference, ACSAC 2016 - Los Angeles, United States
    Duration: Dec 5 2016Dec 9 2016

    Other

    Other32nd Annual Computer Security Applications Conference, ACSAC 2016
    CountryUnited States
    CityLos Angeles
    Period12/5/1612/9/16

    Fingerprint

    Error detection
    Global positioning system
    Navigation
    Satellites

    Keywords

    • Countermeasure
    • GPS
    • Localization security
    • Spoofing

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

    Cite this

    Jansen, K., Tippenhauer, N. O., & Poepper, C. (2016). Multi-receiver GPS spoofing detection: Error models and realization. In Proceedings - 32nd Annual Computer Security Applications Conference, ACSAC 2016 (Vol. 5-9-December-2016, pp. 237-250). Association for Computing Machinery. https://doi.org/10.1145/2991079.2991092

    Multi-receiver GPS spoofing detection : Error models and realization. / Jansen, Kai; Tippenhauer, Nils Ole; Poepper, Christina.

    Proceedings - 32nd Annual Computer Security Applications Conference, ACSAC 2016. Vol. 5-9-December-2016 Association for Computing Machinery, 2016. p. 237-250.

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

    Jansen, K, Tippenhauer, NO & Poepper, C 2016, Multi-receiver GPS spoofing detection: Error models and realization. in Proceedings - 32nd Annual Computer Security Applications Conference, ACSAC 2016. vol. 5-9-December-2016, Association for Computing Machinery, pp. 237-250, 32nd Annual Computer Security Applications Conference, ACSAC 2016, Los Angeles, United States, 12/5/16. https://doi.org/10.1145/2991079.2991092
    Jansen K, Tippenhauer NO, Poepper C. Multi-receiver GPS spoofing detection: Error models and realization. In Proceedings - 32nd Annual Computer Security Applications Conference, ACSAC 2016. Vol. 5-9-December-2016. Association for Computing Machinery. 2016. p. 237-250 https://doi.org/10.1145/2991079.2991092
    Jansen, Kai ; Tippenhauer, Nils Ole ; Poepper, Christina. / Multi-receiver GPS spoofing detection : Error models and realization. Proceedings - 32nd Annual Computer Security Applications Conference, ACSAC 2016. Vol. 5-9-December-2016 Association for Computing Machinery, 2016. pp. 237-250
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