Preparing AES Traces for a Neural Network

Embedded Security Side Channel Power Analysis
1

Hello,

I’m successfully able to capture AES traces with my ChipWhisperer-Lite and store them in a project file with the corresponding key and plaintexts, but now I’d like to perform a byte-sized deep learning attack on this data. In order to do that, I assume I need to figure out what part of each overall trace corresponds to each byte of the S-box substitution, so I can zoom in on that area and label it with it’s corresponding output byte. This is where I’m stuck. If anyone could give me some guidance on going about this I would greatly appreciate it!

Example trace:

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Thank you,
Jack

2

Hi Jack,

Check out the output vs. time plot from SCA101 Lab 4-3. The correlation spikes you see will correspond to the point in time where the sbox substitution is happening.

Alex

3

Will do, thank you Alex!

4

Heyy, hello JSE I’ve some question for you. How did you get to save any key and plaintexts this form on jupyter?

5

Hi vini,

So I start by creating a project to store the traces:

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Then collect and store the traces with their metadata:

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After that I can open up the project and access the traces and their metadata:

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As an example, I can access the key and plaintext associated with the first trace by:

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You can find more information on projects here: Deprecated API — ChipWhisperer 5.7.0 documentation

Hope this helps!

1 Like
6

Hi Alex,
Could you please show me where is SCA101 Lab 4-3?

7

It’s in jupyter/courses/sca101/: https://github.com/newaetech/chipwhisperer-jupyter/blob/master/courses/sca101/Lab%204_3%20-%20ChipWhisperer%20Analyzer%20CPA%20Attack%20(MAIN).ipynb

Alex

8

Hi, Alex

Thank you very much!