Lowering the Bar - Deep Learning for Side Channel Analysis
Explore deep learning techniques for automating power side channel analysis in this 48-minute Black Hat conference talk. Delve into the intersection of cryptanalytic science and signal processing, learning how to apply convolutional neural networks (CNNs) to overcome challenges in side channel attacks. Discover practical demonstrations on AES-128 attacks, points of interest selection, and template analysis. Gain insights into creating effective training datasets, defining hyper-parameters, and improving model generalization. Witness real-world applications, including bypassing misalignment with CNNs, breaking protected ECC, and tackling first-order masked AES implementations. Walk away with key takeaways and resources for further exploration in this cutting-edge field of cybersecurity.