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Machine Learning for PIN Side-Channel Attacks Based on Smartphone Motion Sensors
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matteonerini/pin-side-channel-attacks
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This code package is related to the paper:
M. Nerini, E. Favarelli, and M. Chiani, "Machine Learning for PIN Side-Channel Attacks Based on Smartphone Motion Sensors," IEEE Access, 2023.
Thedataset.txt file contains a 5400 x 17 matrix in which:
- each row is a sampled digit.
- each column is a feature: the first is the pressed digit and the following are motion sensor values.
ThePIN_recognition.ipynb Jupiter Notebook contains the code to replicate the results in the paper.
The filesrf-prod.csv,svm-prod.csv,mlp-prod.csv, andknn-sum.csv have been obtained throguhPIN_recognition.ipynb and are attached for an easier replication of the figures.