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Template Attacks

384 bytes added, 12:22, 25 May 2016
Wrote out remaining sections
Don't worry if this looks crazy - the SciPy package in Python will do all the heavy lifting for us. As with the single-variable distributions, we're going to use this to find how likely a certain observation is. In other words, if we put <math>k</math> points of our power trace into <math>\mathbf{x}</math> and we find that <math>f(\mathbf{x})</math> is very high, then we've probably found a good guess.
= Profiling a Device Creating the Template =Description of templates
== Number of Traces ==
Why do we need thousands of traces?
== Points of Interest ==Why we use POIs How to find them == Analyzing the Data ==How to find the covariance matrices  = Using the Template =Apply the template by measuring more traces == Finding the Key ==How to use the template to narrow down the possibilities == Attack Time ==Shouldn't take long to attack
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