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I was wondering why exactly does solving a polynomial system (directly or indirectly) "break" a multivariate cryptosystem as a digital signature.

I realize that the exact reason differs from system to system, but in general, from what I can see, it then allows attackers to sign messages with a private key that is not theirs. Am I on the right track here?

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  • $\begingroup$ If I understand correctly, If someone writes the digital signature as multivariate equations ( algebraic equations) then solves it, the attacker will get the key. The rest is obvious. Why there is quantum tags here unclear for me. $\endgroup$
    – kelalaka
    Commented Nov 13, 2019 at 15:43
  • $\begingroup$ @kelalaka Ok, and the way the key is handled is differed from system to system...makes sense, thanks! In terms of the tag, multivariate cryptography is having a surge in popularity since it can withstand an attack by a quantum computer, so it is being described as "post-quantum crypto". I understand that the tag "quantum-cryptography" was incorrect, however. $\endgroup$ Commented Nov 14, 2019 at 22:21

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Multivariate cryptographic schemes that perform digital signatures like HFEv, FLASH and Quartz have something in common. As opposed to enciphering data like in a normal cryptosystem where a public multivariate polynomial $P(X)$ is given as:

$$P(X) = P(p_1(x_1,\ldots,x_n),\ldots,p_n(x_1,\ldots,x_n))$$

You input the plaintext bits $x=(x_1,\ldots,x_n)$ into $P(X)$ right? Well when dealing with digital signatures we do the opposite. This is, as we are the owners of the construction, given $Y=H(m || salt)$ where $m$ is a message, we can find the plaintext tuple that sends $X$ to $Y=H(m || salt)$ by inverting the construction:

$$X=P(Y)^{-1} = S^{-1} \circ \varphi^{-1} \circ F^{-1} \circ \varphi \circ T^{-1}(Y)$$

which clearly yields $X$ such that $P(X)=Y$. Now Alice sends the tuple $(m,salt, Y,X)$ and Bob verifies as $P(X)=Y=H(m||salt)$.

Thus if Eve wants to forge digital signatures to trick Bob into thinking she's Alice, Eve must solve either the $\mathcal{MQ}$-Problem or the Isomorphism of Polynomials ($\mathcal{IP}$) which both are reasonably hard.

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