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Difference between revisions of "Tutorial B8 Profiling Attacks (Manual Template Attack)"
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= Capturing the Traces = | = Capturing the Traces = | ||
| − | + | As in the previous tutorial, this tutorial requires two sets of traces. The first set is a large number of traces (1000+) with random keys and plaintexts, assumed to come from your personal copy of the device. The second is a smaller number of traces (~50) with a fixed key and random plaintexts, assumed to come from the sensitive device that we're attacking. The goal of this tutorial is to recover the fixed key from the smaller set of traces. | |
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| + | The data collected from the previous tutorial will be fine for these steps. These examples will work with 2000 random-key traces and 50 fixed-key traces. If you don't have these datasets, follow the steps in [[Tutorial B7 Profiling Attacks (with HW Assumption)]] to record these traces. | ||
= Creating the Template = | = Creating the Template = | ||
Revision as of 11:16, 25 May 2016
This tutorial is a more hands-on version of the previous tutorial. Rather than getting the ChipWhisperer Analyzer software to generate the points of interest and the template distributions, this tutorial will work directly with the recorded trace data in Python.
It is highly recommended that you read the theory page on Template Attacks before attempting this tutorial. There is some relatively complex processing involved, and it may be helpful to get a mathematical view on the steps before attempting to program them.
Additionally, this tutorial uses some terminology from previous tutorials, such as Hamming weight and substitution box. If you don't know what these are, Tutorial B6 Breaking AES (Manual CPA Attack) might be an easier starting point.
Contents
Capturing the Traces
As in the previous tutorial, this tutorial requires two sets of traces. The first set is a large number of traces (1000+) with random keys and plaintexts, assumed to come from your personal copy of the device. The second is a smaller number of traces (~50) with a fixed key and random plaintexts, assumed to come from the sensitive device that we're attacking. The goal of this tutorial is to recover the fixed key from the smaller set of traces.
The data collected from the previous tutorial will be fine for these steps. These examples will work with 2000 random-key traces and 50 fixed-key traces. If you don't have these datasets, follow the steps in Tutorial B7 Profiling Attacks (with HW Assumption) to record these traces.
Creating the Template
Steps to make the template
Mention Hamming weight assumption
Loading the Traces
Sorting the Traces
Points of Interest
Covariance Matrices
Performing the Attack
Steps to crack the code (tm)
Loading the Traces
Using the Template
Gotchas
- Too little data (0 or 1 trace)
- Flukes + statistics
