Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack

ePrint Report: Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack

Trevor Yap, Dirmanto Jap

In side-channel analysis (SCA), the success of an attack is largely dependent on the dataset sizes and the number of instances in each class. The generation of synthetic traces can help to improve attacks like profiling attacks.
However, manually creating synthetic traces from actual traces is arduous. Therefore, automating this process of creating artificial traces is much needed.
Recently, diffusion models have gained …

analysis attack can channel class dataset eprint report noise report sca side-channel side-channel attack synthetic trace traces