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\documentclass{article}
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\usepackage[utf8]{inputenc}
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\usepackage{amsfonts}
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\usepackage{amsthm} % theorems structure
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\usepackage{enumerate}
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\usepackage{hyperref} % links
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\usepackage{tikz} % diagrams
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\usepackage{pgf-umlsd} % diagrams
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\usepackage{amsmath} % arrows
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\theoremstyle{definition}
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\newtheorem{example}{Example}[section]
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\title{Sigma protocol and OR proofs - notes}
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\author{arnaucube}
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\date{March 2022}
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\begin{document}
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\maketitle
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\begin{abstract}
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This document contains the notes taken during the \emph{Cryptography Seminars} given by \href{https://github.com/rbkhmrcr}{Rebekah Mercer}.
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\end{abstract}
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\tableofcontents
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\section{Sigma protocol}
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\subsection{The protocol}
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Let $q$ be a prime, $q$ a prime divisor in $p-1$, and $g$ and element of order $q$ in $\mathbb{Z}_p^a$. Then we have $G = \langle g \rangle$.
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\\
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We assume that computationally for a given $A$ it's hard to find $a \in \mathbb{F}$ such that $A = g^a$.
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\\
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Alice wants to prove that knows the \emph{witness} $w \in \mathbb{F}$, such that the \emph{statement} $X = g^w$, without revealing $w$.
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\begin{enumerate}[1.]
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\item Alice generates a random $a \xleftarrow{r} \mathbb{F}$, and computes $A=g^a$. And sends $A$ to Bob.
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\item Bob generates a challenge $c \xleftarrow{r} \mathbb{F}$, and sends it to Alice.
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\item Alice computes $z=a + c \cdot w$, and sends it to Bob.
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\item Bob verifies it by checking that $g^z == X^c \cdot A$.
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\end{enumerate}
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We can unfold Bob's verification and see that:
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$$g^z == X^c \cdot A$$
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$$g^{a+cw} == g^{wc} g^a$$
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$$g^{a+cw} == g^{wc+a}$$
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\begin{center}
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\begin{sequencediagram}
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\newinst[1]{a}{Alice}
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\newinst[3]{b}{Bob}
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\mess[0]{a}{$A$}{b}
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\mess[2]{b}{$c$}{a}
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\mess[2]{a}{$z$}{b}
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\mess[0]{b}{$ok$}{a}
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\end{sequencediagram}
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\end{center}
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Properties:
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\begin{enumerate}[i.]
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\item \emph{correctness/completness}: if Alice know the witness for the statement, then they can create a valid proof.
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\item \emph{soundness}: if someone does not have knowledge of the witness, can not form a valid proof (verifier will always reject).
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\item \emph{zero knowledge}: nobody gains knowledge of anything new with the proof. prior knowledge + proof = prior knowledge
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\end{enumerate}
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\subsection{Non interactive protocol}
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With the \emph{Fiat-Shamir Heuristic}, we model a hash function as a random oracle, thus we can replace Bob's role by a hash function in order to obtain the challenge $c \in \mathbb{F}$.
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\\
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So, we replace the step 2 from the described protocol by $c = H(X || A)$ (where $H$ is a known hash function).
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\subsection{What could go wrong (Simulator)}
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If the verifier (Bob) sends $c \in \mathbb{F}$, prior to the prover committed to $A$, the prover could create a proof about a public key which they don't know $w$.
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\begin{enumerate}[1.]
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\item Bob sends $c \xleftarrow{r} \mathbb{F}$ to Alice
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\item Alice generates $z \xleftarrow{r} \mathbb{F}$
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\item Alice then computes $A = g^z X^{-c}$, and sends $z, A$ to Bob
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\item Bob would check that $g^z == X^c A$ and it would pass the verification, as $g^z== X^c \cdot A \Rightarrow g^z==X^c \cdot g^z X^{-c} \Rightarrow g^z == g^z$.
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\end{enumerate}
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As we've seen, it's really important the order of the steps, so Alice must commit to $A$ before knowing $c$.\\
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This 'fake' proof generation is often called the \emph{simulator} and used for further constructions.
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\section{OR proof}
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\emph{OR proofs} allows the prover to prove that they know the witness $w$ of one of the two known \emph{public keys} $X_0, X_1 \in \mathbb{F}$, without revealing which one. It uses the construction seen in the \emph{sigma protocols} together with the idea of the \emph{simulator}.
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A similar construction is used for $n$ statements in the \emph{ring signatures} scheme (used for example in \emph{Monero}). In our case, we will work with $n=2$.
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\subsection{The protocol}
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\subsubsection{Simulator}
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We can assume that the simulator is a box that for given the inputs $(g, X)$, it will output $(A_s, c_s, z_s)$, such that verification succeeds ($g^{z_s}==X^{c_s} \cdot A_s$).
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\begin{center}
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\begin{tikzpicture}
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\node [draw,
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minimum width=2cm,
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minimum height=1.2cm,
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right=1cm
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] (simulator) {simulator};
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\draw[-stealth] ++(-1,0) -- (simulator.west)
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node[midway,above]{$g, X$};
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\draw[-stealth] (simulator.east) -- ++(+2,0)
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node[midway,above]{$A_s, c_s, z_s$};
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\end{tikzpicture}
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\end{center}
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Internally, the simulator computes
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$$z_s \xleftarrow{r} \mathbb{F},~c_s \xleftarrow{r} \mathbb{F},~A_s = g^{z_s} \cdot X^{c_s}$$
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\subsection{Flow}
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For two known \emph{public keys} $X_0, X_1 \in G$, Alice knows $w_b \in \mathbb{F}$, for $b \in \{0, 1\}$, such that $g^{w_b} = X_0$ or $g^{w_b} = X_1$. As we don't know if Alice controls $0$ or $1$, from now on, we will use $b$ and $1-b$.
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\\
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So, Alice knows $w_b \in \mathbb{F}$ such that $X_b = g^{w_b}$, and does not know $w_{1-b}$ for $X_{1-b}=g^{w_{1-b}}$.
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\begin{enumerate}
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\item First of all, as in the \emph{Sigma protocol}, Alice generates a random \emph{commitment} $a_b \xleftarrow{r} \mathbb{F}$, and computes $A_b = g^{a_b}$.
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\item Then, Alice will run the \emph{simulator} for $1-b$.
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\begin{list}{}
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\item Sets a random $c_{1-b} \xleftarrow{r} \mathbb{F}$, and runs the simulator with inputs\\$(c_{1-b}, X_{1-b})$, and outputs $(A_{1-b}, c_{1-b}, z_{1-b})$.
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\item Remember that internally the \emph{simulator} will set random\\
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$z_{1-b}, c_{1-b} \xleftarrow{r} \mathbb{F}$, and compute an $A_{1-b}$ such that\\
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$A_{1-b} = g^{z_{1-b}} \cdot X_{1-b}^{c_{1-b}}$.
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\end{list}
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\item Now, Alice sends $A_b, A_{1-b}$ to Bob
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\item And Bob sends back the \emph{challenge} $s \xleftarrow{r} \mathbb{F}$.
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\item Alice then splits the challenge $s$ into $c_b, c_{1-b}$, by $s = c_{1-b} \oplus c_b$. So Alice can compute $c_b = s \oplus c_{1-b}$.
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\item Then Alice computes $z_b = a_b \cdot w_b + c_b$. And sends to Bob $(c_b, c_{1-b}, z_b, z_{1-b})$.
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\item Bob can perform the verification by checking that:
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\begin{enumerate}[i.]
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\item $s == c_b \oplus c_{1-b}$
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\item $g_{z_{1-b}} == A_{1-b} \cdot X_{1-b}^{-c_{1-b}}$
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\item $g_{z_b} == A_b \cdot X_b^{-c_b}$
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\end{enumerate}
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\end{enumerate}
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\begin{center}
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\begin{sequencediagram}
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\newinst[1]{a}{Alice}
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\newinst[3]{b}{Bob}
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\mess[1]{a}{$A_b, A_{1-b}$}{b}
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\mess[1]{b}{$s$}{a}
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\mess[1]{a}{$c_b, c_{1-b}, z_b, z_{1-b}$}{b}
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\end{sequencediagram}
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\end{center}
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\section{Resources}
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\begin{enumerate}
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\item \href{https://cs.au.dk/~ivan/Sigma.pdf}{https://cs.au.dk/~ivan/Sigma.pdf}
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\item \emph{Cryptography Made Simple}, Nigel Smart. Section 21.3.
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\end{enumerate}
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\end{document}
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