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NID

Natural Interception Dataset

Purpose

This repository stores the natural interception dataset (NID). The system used to intercept the electro-magnetic leakage emitted by a screen is detailed in the ICASSP20 paper named Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification" --> ArXiv or IEEE Xplore

Repository Content

  • data
    • train: 424 images based on BSD432 samples:
      • in: eavesdropped samples
      • ref: reference grayscale samples
    • val: 68 BSD68 samples
      • in: eavesdropped samples
      • ref: reference grayscale samples
    • missing: the 8 ref samples missing in the train dataset
      • ref

Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The dataset is free to use until you propagate the licence and you cite our paper using the following format:

@article{lemarchand2019electro, title={Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification}, author={Lemarchand, Florian and Marlin, Cyril and Montreuil, Florent and Nogues, Erwan and Pelcat, Maxime}, journal={arXiv preprint arXiv:1910.07201}, year={2019} }

Contact

Florian Lemarchand : [email protected], A=florian.lemarchand and B = insa-rennes