IDEAS home Printed from https://ideas.repec.org/a/eee/ijocip/v8y2015icp27-39.html
   My bibliography  Save this article

Wireless infrastructure protection using low-cost radio frequency fingerprinting receivers

Author

Listed:
  • Ramsey, Benjamin W.
  • Stubbs, Tyler D.
  • Mullins, Barry E.
  • Temple, Michael A.
  • Buckner, Mark A.

Abstract

Low-data-rate wireless networks incorporated in critical infrastructure applications can be protected through 128-bit encryption keys and address-based access control lists. However, these bit-level credentials are vulnerable to interception, extraction and spoofing using software tools available free of charge on the Internet. Recent research has demonstrated that wireless physical layer device fingerprinting can be used to defend against replay and spoofing attacks. However, radio frequency (RF) fingerprinting typically uses expensive signal collection systems; this is because fingerprinting wireless devices with low-cost receivers has been reported to have inconsistent accuracy. This paper demonstrates a robust radio frequency fingerprinting process that is consistently accurate with both high-end and low-cost receivers. Indeed, the results demonstrate that low-cost software-defined radios can be used to perform accurate radio frequency fingerprinting and to identify spoofing attacks in critical IEEE 802.15.4-based infrastructure networks such as ZigBee.

Suggested Citation

  • Ramsey, Benjamin W. & Stubbs, Tyler D. & Mullins, Barry E. & Temple, Michael A. & Buckner, Mark A., 2015. "Wireless infrastructure protection using low-cost radio frequency fingerprinting receivers," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 27-39.
  • Handle: RePEc:eee:ijocip:v:8:y:2015:i:c:p:27-39
    DOI: 10.1016/j.ijcip.2014.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S187454821400078X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijcip.2014.11.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emre Uzundurukan & Yaser Dalveren & Ali Kara, 2020. "A Database for the Radio Frequency Fingerprinting of Bluetooth Devices," Data, MDPI, vol. 5(2), pages 1-11, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ijocip:v:8:y:2015:i:c:p:27-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-critical-infrastructure-protection .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.