# CSE442T Introduction to Cryptography (Lecture 6) ## Review $$ f_{mult}:\{0,1\}^{2n}\to \{0,1\}^{2n} $$ is a weak one-way. $P[\mathcal{A}\ \text{invert}]\leq 1-\frac{1}{8n^2}$ over $x,y\in$ random integers $\{0,1\}^n$ ## Chapter 2: Computational Hardness ### Converting weak one-way function to strong one-way function By factoring assumptions, $\exists$ strong one-way function $f:\{0,1\}^N\to \{0,1\}^N$ for infinitely many $N$. $f=\left(f_{mult}(x_1,y_1),f_{mult}(x_2,y_2),\dots,f_{mult}(x_q,y_q)\right)$, $x_i,y_i\in \{0,1\}^n$. $f:\{0,1\}^{8n^4}\to \{0,1\}^{8n^4}$ Idea: With high probability, at least one pair $(x_i,y_i)$ are both prime. Factoring assumption: $\mathcal{A}$ has low chance of factoring $f_{mult}(x_i,y_i)$ Use $P[x \textup{ is prime}]\geq\frac{1}{2n}$ $$ P[\forall p,q \in x_i,y_i, p\textup{ and } q \textup{ is not prime }]=P[p,q \in x_i,y_i, p\textup{ and } q \textup{ is not prime }]^q $$ $$ P[\forall p,q \in x_i,y_i, p\textup{ and } q \textup{ is not prime }]\leq(1-\frac{1}{4n^2})^{4n^3}\leq (e^{-\frac{1}{4n^2}})^{4n^3}=e^{-n} $$ ### Proof of strong one-way function 1. $f_{mult}$ is efficiently computable, and we compute it poly-many times. 2. Suppose it's not hard to invert. Then $\exists \text{n.u.p.p.t.}\ \mathcal{A}$such that $P[w\gets \{0,1\}^{8n^4};z=f(w):f(\mathcal{A}(z))=0]=\mu (n)>\frac{1}{p(n)}$ We will use this to construct $\mathcal{B}$ that breaks factoring assumption. $p\gets \Pi_n,q\gets \Pi_n,N=p\cdot q$ ```psudocode function B: Receives N Sample (x,y) q times Compute z_i = f_mult(x_i,y_i) for each i From i=1 to q check if both x_i y_i are prime If yes, z_i = N break // replace first instance Let z = (z_1,z_2,...,z_q) // z_k = N hopefully ((x_1,y_1),...,(x_k,y_k),...,(x_q,y_q)) <- a(z) if (x_k,y_k) was replaced return x_k,y_k else return null ``` Let $E$ be the event that all pairs of sampled integers were not both prime. Let $F$ be the event that $\mathcal{A}$ failed to invert $P[\mathcal{B} \text{ fails}]\leq P[E\cup F]\leq P[E]+P[F]\leq e^{-n}+(1-\frac{1}{p(n)})=1-(\frac{1}{p(n)}-e^{-n})\leq 1-\frac{1}{2p(n)}$ $P[\mathcal{B} \text{ succeeds}]=P[p\gets \Pi_n,q\gets \Pi_n,N=p\cdot q:\mathcal{B}(N)\in \{p,q\}]\geq \frac{1}{2p(n)}$ Contradicting factoring assumption We've defined one-way functions to hae domain $\{0,1\}^n$ for some $n$. Our strong one-way function $f(n)$ - Takes $4n^3$ pairs of random integers - Multiplies all pairs - Hope at least pair are both prime $p,q$ b/c we know $N=p\cdot q$ is hard to factor ### General collection of strong one-way functions $F=\{f_i:D_i\to R_i\},i\in I$, $I$ is the index set. 1. We can effectively choose $i\gets I$ using $Gen$. 2. $\forall i$ we ca efficiently sample $x\gets D_i$. 3. $\forall i\forall x\in D_i,f_i(x)$ is efficiently computable 4. For any n.u.p.p.t $\mathcal{A}$, $\exists$ negligible function $\epsilon (n)$. $P[i\gets Gen(1^n);x\gets D_i;y=f_i(x):f(\mathcal{A}(y,i,1^n))=y]\leq \epsilon(n)$ #### An instance of strong one-way function under factoring assumption $f_{mult,n}:(\Pi_n\times \Pi_n)\to \{0,1\}^{2n}$ is a collection of strong one way function. Ideas of proof: 1. $n\gets Gen(1^n)$ 2. We can efficiently sample $p,q$ (with justifications) 3. Factoring assumption Algorithm for sampling a random prime $p\gets \Pi_n$ 1. $x\gets \{0,1\}^n$ (n bit integer) 2. Check if $x$ is prime. - Deterministic poly-time procedure - In practice, a much faster randomized procedure (Miller-Rabin) used $P[x\cancel{\in} \text{prime}|\text{test said x prime}]<\epsilon(n)$ 3. If not, repeat. Do this for polynomial number of times