Short name: sdr4iot
Long name: IoT Device Fingerprinting and Localization Using Software Defined Radio
Company: RTone | rtone.fr
Call Stage 1: F4Fp-SME-COD1 (see call details)
Proposal number: F4Fp-SME-COD190924-01
Call Stage 2: F4Fp-SME-2 (see call details)
Proposal number: F4Fp-SME-STAGE 2- 07M05
SUMMARY REMARKS & TESTBEDS
SDR4IoT propose to leverage the w-iLab.2Wireless testbed to collect raw radio frequency (RF) signals of widely used radio protocols for Internet of Things (IoT) devices in the 2.4GHz ISM bandwidth, such as Bluetooth Low Energy and Zigbee, using software-defined radio (SDR)nodes.
This first stage will allow us to build a large, reliable and reproducible dataset of RF fingerprints. Stage 2 experiment is to enhance the data provided at the end of Stage 1 and exploit this dataset to develop deep learning algorithm for IoT device fingerprinting and localization.
- sdr4iot experiment – Stage 1 (download the poster)
- sdr4iot experiment – Stage 2 | FEC9 (download the poster)
- Review sdr4iot experiment – Stage 1 (download the slides)
- Review sdr4iot experiment – Stage 2 | FEC9 (download the slides)