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Difference between revisions of "Template:Tutorial boilerplate"
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This tutorial will introduce you to measuring the power consumption of a device under attack. It will demonstrate how you can view the difference between assembly instructions. '''In ChipWhisperer 5 Release, the software documentation is now held outside the wiki. See links below.''' | This tutorial will introduce you to measuring the power consumption of a device under attack. It will demonstrate how you can view the difference between assembly instructions. '''In ChipWhisperer 5 Release, the software documentation is now held outside the wiki. See links below.''' | ||
| − | To see background on the tutorials see the [https://chipwhisperer.readthedocs.io/en/latest/tutorials.html Tutorial Introduction on ReadTheDocs], which | + | To see background on the tutorials see the [https://chipwhisperer.readthedocs.io/en/latest/tutorials.html Tutorial Introduction on ReadTheDocs], which explains what the links below mean. These wiki pages (that you are reading right now) only hold the '''hardware setup required''', and you have to run the Tutorial via the Jupyter notebook itself. The links below take you to the '''expected Jupyter output''' from each tutorial, so you can compare your results to the expected/known-good results. |
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| + | Running the tutorial uses the referenced Jupyter notebook file. | ||
Latest revision as of 04:17, 29 July 2019
This tutorial will introduce you to measuring the power consumption of a device under attack. It will demonstrate how you can view the difference between assembly instructions. In ChipWhisperer 5 Release, the software documentation is now held outside the wiki. See links below.
To see background on the tutorials see the Tutorial Introduction on ReadTheDocs, which explains what the links below mean. These wiki pages (that you are reading right now) only hold the hardware setup required, and you have to run the Tutorial via the Jupyter notebook itself. The links below take you to the expected Jupyter output from each tutorial, so you can compare your results to the expected/known-good results.
Running the tutorial uses the referenced Jupyter notebook file.
