---
license: gpl-3.0
---
# DeepCSIv2
This is the implementation of the INFOCOM 25 Workshop's (DeepWireless 25) paper-- DeepCSIv2:[Radio Fingerprinting of Wi-Fi Devices Through
MIMO Compressed Channel Feedback](https://ieeexplore.ieee.org/abstract/document/11152893)


### We present DeepCSIv2, a data-driven radio fingerprinting (RFP) algorithm to characterize Wi-Fi devices acting as stations (STAs) at the physical layer. DeepCSIv2 is based on a neural network architecture that automatically extracts the STA’s radio fingerprint from the feedback captured over the air and identifies the device.

If you find the project useful and you use this code, please cite our paper:

```

@inproceedings{meneghello2025radio,
  title={Radio Fingerprinting of Wi-Fi Devices Through MIMO Compressed Channel Feedback},
  author={Meneghello, Francesca and Haque, Khandaker Foysal and Restuccia, Francesco},
  booktitle={IEEE INFOCOM 2025-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
  pages={1--6},
  year={2025},
  organization={IEEE}
}

```
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### Please [download the dataset](https://huggingface.co/datasets/foysalhaque/DeepCSIv2/tree/main) and keep in the ```DeepCSIv2/input_files``` directory. You can directly download the Vmatrices or download the raw traces and extract the Vmatrices. The extraction procedure is also provided.

### Extract the beamforming feedback with [Wi-BFI Tool](https://github.com/kfoysalhaque/Wi-BFI)
```bash
python main_extract_batch.py '<trace_dir>' '<standard>' '<MIMO>' '<Antenna-config>' '<BW>' '<packets to process>' '<vmatrices_dir>' '<bfa_dir>'
```
Example: python main_extract_batch.py /data/pcap_traces AX MU 4x2 80 5000 /data/output/vmatrices /data/output/bfa

#### For any question or query, please contact [Foysal Haque](https://kfoysalhaque.github.io/) at _**haque.k@northeastern.edu**