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Don't worry. The entire presentation and Q&A will be recorded for viewing approximately 24 hours after the event. You can find the link to the recording in our AOC Virtual Series Archive.  The AOC offers all past webinars for free to members. A password is required to view archived webinars. Members, click here to get your password and start watching right away. Not a member? Click here to sign up, and start viewing the webinars in minutes!

PLEASE NOTE: By registering for this event, the details of your profile may be used by the Association of Old Crows (AOC), the presenter, or the sponsor(s) to contact you by email.

Enhancing Network Security: Using 'Learning-From-Signals' And Fractional Fourier Transform Based RF-DNA Fingerprints

Enhancing Network Security: Using 'Learning-From-Signals' And Fractional Fourier Transform Based RF-DNA Fingerprints


Wireless Access Points (WAP) remain one of the top 10 network security threats. Research has focused on developing a physical (PHY) layer aware Radio Frequency (RF) air monitoring system with multi-factor authentication to provide a first-line of defense for network security--stopping attackers before they can gain access to critical infrastructure networks through vulnerable WAPs. This webinar will present early results on the identification of OFDM-based 802.11a WiFi devices using RF Distinct Native Attribute (RF-DNA) fingerprints produced by the Fractional Fourier Transform (FRFT). These fingerprints are input to a "Learning from Signals" (LFS) classifier which uses hybrid Differential Evolution/Conjugate Gradient (DECG) optimization to determine the optimal features for a low-rank model to be used for authentication. Results are presented for devices under the most challenging conditions of intra-manufacturer classification, i.e., same-manufacturer, same-model, differing only in serial number. The results of Fractional Fourier Domain (FRFD) RF-DNA fingerprints demonstrate significant improvement over results based on Time Domain (TD), Spectral Domain (SD) and even Wavelet Domain (WD) fingerprints.

After you register for the webinar, you will be emailed a confirmation with the link to the webinar, along with instructions on how to connect.

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You can also access the webinar via free mobile apps available on iOS, Android, and Blackberry devices.

For questions, please contact Brock Sheets.

The entire presentation and Q&A will be recorded for viewing approximately 24 hours after the event. You can find the link to the recording in our AOC Virtual Series Archive.  (separate registration required to view the recording)

Disclaimer

By registering for this event, the details of your profile may be used by the Association of Old Crows (AOC), the presenter, or the sponsor(s) to contact you by email.

 

The AOC offers all past webinars for free to members. A password is required to view archived webinars. Members, click here to get your password and start watching right away. Not a member? Click here to sign up, and start viewing the webinars in minutes!

Gold Sponsors

Enhancing Network Security: Using 'Learning-From-Signals' And Fractional Fourier Transform Based RF-DNA Fingerprints

*Additional sponsorship opportunities are available. Click here for details.

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