Sep 20 – 24, 2021
In-Person & Virtual
US/Eastern timezone
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A New Experimental Setup for Collecting nRF2.4 and LoRa Devices Signatures for Machine Learning based Device Authentication

Sep 21, 2021, 4:20 PM
10m
Coliseum Ballroom (In-Person & Virtual)

Coliseum Ballroom

In-Person & Virtual

Poster RF Machine Learning Main Track

Speakers

Zheng Zeng (Penn State Behrend) William Hemminger (Penn State Behrend) Abdallah Abdallah (Penn State Erie - The Behrend College)

Description

This poster focuses on using software-defined radio to collect device signature information. The goal of this project is to create a testing environment that is ideal for collecting device fingerprinting data specifically for nRF24L01+ and Heltec WIFI LoRa 32 (V2) modules. This project takes three computing devices, one laptop and two Raspberry Pi computers, as well as a USRP B200 SDR to validate and record the traffic between the RF devices. The laptop is in charge of driving the SDR next to the RX – this is implemented using the GNU Radio Companion software (GRC). The two Raspberry Pi computers are in charge of driving two RF modules as TX and RX respectively.

Secondary Topic GNU Radio in Education

Primary authors

Zheng Zeng (Penn State Behrend) William Hemminger (Penn State Behrend) Abdallah Abdallah (Penn State Erie - The Behrend College)

Presentation materials