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Full 6.5-day CW measurement for Drift Detection

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DataCite Commons2024-02-05 更新2024-07-13 收录
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https://uvaauas.figshare.com/articles/dataset/Yet_Another_Classifier/24949077
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Full 6.5-day CW measurement for Drift Detection <br>   <strong>Experiment:</strong><br> -The dataset was captured using the Chipwhisperer CW308, with the target device being STM32F3 with an ARM Cortex-M4<br> <br> <br> -The target device performed an AES-128 encryption while we measured the leakage traces<br> <br> <br> <br> -The experiment lasted for approximately 6.5 days <br> <br> <br> <br> -The data is organized in parts of 100k traces each. Each 100k-sized part was captured in approx. 38 minutes. Each trace has 5k time samples (features). The original experiment has a total of 254 parts of 100k traces each. <br> <br> <br> -Every 100k-trace data part is called traces<strong>i</strong>.mat and comes together with label<strong>i</strong>.mat, for indexes i = 1, 2, ..., 254<br> <br> -The label<strong>i</strong>.mat is the value of a single sboxoutput of AES-128 i.e. the label ranges in the set {0,1,...,255}. We assume that successfully recovering the sboxoutput implies successfully recovering the respective key byte of AES-128.<br> <br> <br> We also have a reduced version of the dataset available here:  <br> https://doi.org/10.21942/uva.25061858<br> <br> <br>
提供机构:
University of Amsterdam / Amsterdam University of Applied Sciences
创建时间:
2024-01-06
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