Learning side channel attack method for automatically discovering leakage model and encryption equipment
A side-channel attack and automatic discovery technology, applied in the field of side-channel attack methods and encryption equipment, can solve problems such as side-channel high-order attacks, improve reliability, improve analysis efficiency, and avoid manual reasoning or guessing
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[0079] In a specific embodiment, the intermediate combination value fitting network GVNet of the attack model is defined as an input layer width of 48, which is used to input 8-bit data encoded by [-1,1] of a plaintext byte, and a subkey byte of [-1,1] encoded 8-bit data, encrypted intermediate value ROUND-IN, ADD-KEY, SBOX-IN and SBOX-OUT each one byte [-1,1] encoded 32-bit data; middle The layer is 3 fully connected layers with a width of 128, and the neuron activation function is tanh; the output layer is a fully connected layer with a width of 8 neurons, and the neuron activation function is tanh. The energy consumption combination value fitting network GENet is a convolutional upgrading network. The input layer size is 10000, which is used to input all energy consumption samples generated by the SBOX0 encryption process; 5 convolutional blocks are used, and each convolutional block contains a 1D convolutional layer with a stride of 2 and a 1D stride of A max pooling laye...
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