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With ECDSA, given $(r,s)$ and $m$, is there a way for a verifier to calculate any (boolean) properties of $k$, without knowing $k$ or the private key $D_A$?

(I understand that $k$ should be random, or follow RFC6979, but I'm curious.)

In particular, could the verifier compute, given a signature $(r,s)$ and a message $m$, that:

  1. $k$ is odd
  2. $k$ has some mathematical relation to one of the curve parameters
  3. $k$ has some mathematical relation to the public key $Q_A$
  4. $k$ has some mathematical relation to the (truncated) message hash $z$
  5. $k$ was deterministically generated with RFC6979. See the article Android Security Vulnerability for the value of $k$ which was used to generate the signature.

(Variable names were taken from here.)

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    $\begingroup$ By $K$, do you mean $k$ (as in the article)? $\endgroup$
    – fkraiem
    Nov 5 '15 at 10:44
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    $\begingroup$ Also, to whom should this be proven? By itself, the statement "$k$ is odd" is meaningless since $k$ is not defined. However, given a signature $(r,s)$ and a message $m$, the statement "the value of $k$ which was used to generate this signature is odd" may be meaningful, assuming there is only one possible $k$, or all the possible $k$s have the same parity. $\endgroup$
    – fkraiem
    Nov 5 '15 at 10:56
  • $\begingroup$ Yes, I've corrected my question. How did you write the pretty-k in your comment? $\endgroup$ Nov 5 '15 at 10:56
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    $\begingroup$ See this help page on Math.SE about TeX formatting. $\endgroup$
    – fkraiem
    Nov 5 '15 at 10:59
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    $\begingroup$ I think you may be using the word "to prove" in a different way than it is normally used in cryptography. Do you actually mean "it is possible to compute/obtain the parity of $k$ from $(r,s)$ and $m$"? $\endgroup$
    – fkraiem
    Nov 5 '15 at 11:18
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There are no relation we are currently aware of. The reason is as follows. The map $$k \mapsto (k G).x$$ is assumed to be a good pseudo random number generator.
(The NSA infiltration of the Dual EC drgb has nothing to do with that fact).
This basically says that k and r can be seen as independant random variables.

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