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We collected 5 real power consumption traces and we used one to generate the training dataset for the LSTM. The other four real power consumption traces were used for the testing dataset. Each real power consumption trace consists of a pair of lists: traces: a list of samples, which are the measurements of power consumption cycle: a list of element pairs, where each pair consists of: a numeric tag identifying the field operation performed (Addition, Subtraction, Multiplication, Square and other routine operations not of interest to us): the clock ticks counter when the field operation starts
Deep Learning, Neural Network, ECC, Key Recovery, Side-channel
Deep Learning, Neural Network, ECC, Key Recovery, Side-channel
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