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- $\begingroup$ thanks for the response. So you mean I'm not concerned by the intel post considering that I'm using a Hardware random number generator. Could you please explain to me what raw noise readings are ? $\endgroup$M.Fox– M.Fox2015-09-17 09:02:34 +00:00Commented Sep 17, 2015 at 9:02
- 1$\begingroup$ @M.Fox, likely so, but you would need to verify what the library is actually doing to be sure. By raw readings I meant the case where the library gives you numbers from the hardware where no randomness extraction or other conditioning has been performed. Those could have the kind of biases you mention in the question. $\endgroup$otus– otus2015-09-17 09:06:24 +00:00Commented Sep 17, 2015 at 9:06
- $\begingroup$ thank you :) I'll see the definition of my library function to figure it out.So the entropy of a random number from a hardware random number generator depends on how my function is implemented. It's not because it is a 16-bit random that it has effectively 16 bits of entropy no? $\endgroup$M.Fox– M.Fox2015-09-17 09:46:51 +00:00Commented Sep 17, 2015 at 9:46
- $\begingroup$ @M.Fox, if each number has 16 bits of entropy, then two of them have 32. So if the library guarantees this you are fine. However, 16 is in general just an upper bound. $\endgroup$otus– otus2015-09-17 09:50:16 +00:00Commented Sep 17, 2015 at 9:50
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