A Hacker Guide To Deep-Learning Based Side Channel Attacks
Conference: Defcon 27
2019-08-01
Summary
Deep learning is a powerful tool for hardware side-channel attacks and has the potential to revolutionize hardware cryptography.
- Deep learning eliminates the need for trace processing and human assumptions, making attacks more efficient and reusable.
- Deep learning's ability to output probability allows for efficient probabilistic attacks.
- Deep learning scales linearly with data and computing, making it a perfect fit for scaling attacks.
- The speaker provides an anecdote about successfully recovering 100 keys using deep learning.
- The speaker emphasizes the importance of automation and the potential for deep learning to improve hardware cryptography.
Abstract
This talk explores how AI is revolutionizing hardware side-channel attacks and what this new wave of attacks mean for the future of hardware cryptography. Based on the lessons learned while successfully attacking many hardware AES implementations using deep-learning this talk discuss why those attacks are fundamentally more efficient and details how to conduct then in practice.
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