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README.md

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# slides
- [RSA and Homomorphic Multiplication](https://github.com/arnaucube/slides/blob/master/rsa-and-homomorphicmultiplication.pdf)
- [Shamir's Secret Sharing](https://github.com/arnaucube/slides/blob/master/rsa-and-homomorphicmultiplication.pdf)
- [zkSNARKs from scratch, a technical explanation](https://github.com/arnaucube/slides/blob/master/zksnarks-from-scratch-a-technical-explanation.pdf)
Any error, typo, mistake, etc, open an issue or a pull request and I'll be glad to fix it.

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rsa-and-homomorphicmultiplication.pdf


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shamirsecretsharing.pdf


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# RSA and Homomorphic Multiplication
<img src="https://arnaucube.com/img/logoArnauCubeTransparent.png" style="max-width:20%; float:right;" />
- https://arnaucube.com
- https://github.com/arnaucube
- https://twitter.com/arnaucube
<br><br><br>
<div style="float:right;font-size:80%;">
<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png" /></a>
<br>
2018-11-30
</div>
---
- Intro
- Public key cryptography
- Basics of modular arithmetic
- Brief history of RSA
- Keys generation
- Prime numbers
- Encryption
- Decryption
- What's going on in encryption and decryption?
- Signature
- Verification of the signature
- Homomorphic Multiplication with RSA
- Resources
---
# Intro
- I'm not an expert on the field, neither a mathematician. Just an engineer with interest for cryptography
- Short talk (15 min), with the objective to make a practical introduction to the RSA cryptosystem
- Is not a talk about mathematical demostrations, is a talk with the objective to get the basic notions to be able to do a practical implementation of the algorithm
- After the talk, we will do a practical workshop to implement the concepts. We can offer support for Go, Rust, Python and Nodejs (you can choose any other language, but we will not be able to help)
---
# Public key cryptography
![pubkencr](https://upload.wikimedia.org/wikipedia/commons/f/f9/Public_key_encryption.svg "pubkencr")
---
Some examples:
- RSA
- Paillier
- ECC (Corba el·líptica)
---
# Basics of modular arithmetic
- Modulus, `mod`, `%`
- Remainder after division of two numbers
![clocks](https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/Clock_group.svg/220px-Clock_group.svg.png "clocks")
```
5 mod 12 = 5
14 mod 12 = 2
83 mod 10 = 3
```
```
5 + 3 mod 6 = 8 mod 6 = 2
```
---
# Brief history of RSA
- RSA (Rivest–Shamir–Adleman): Ron Rivest, Adi Shamir, Leonard Adleman
- year 1977
- one of the first public key cryptosystems
- based on the difficulty of factorization of the product of two big prime numbers
---
# Prime numbers
- We need an asymmetric key, in a way where we can decrypt a message encrypted with the asymetric key
- Without allowing to find the private key from the public key
- in RSA we resolve this with factorization of prime numbers
- using prime numbers for $p$ and $q$, it's difficult factorize $n$ to obtain $p$ and $q$, where $n=p*q$
---
Example:
If we know $n$ which we need to find the $p$ and $q$ values where $p*q=n$:
```
n = 35
```
To obtain the possible factors, is needed to brute force trying different combinations, until we find:
```
p = 5
q = 7
```
In this case is easy as it's a simple example with small numbers. The idea is to do this with big prime numbers
---
Another exmample with more bigger prime numbers:
```
n = 272604817800326282194810623604278579733
```
From $n$, I don't have a 'direct' way to obtain $p$ and $q$. I need to try by brute force the different values until finding a correct combination.
```
p = 17975460804519255043
q = 15165386899666573831
n = 17975460804519255043 * 15165386899666573831 = 272604817800326282194810623604278579733
```
---
If we do this with non prime numbers:
```
n = 32
We can factorize 32 = 2 * 2 * 2 * 2 * 2
combining that values in two values X * Y
for example (2*2*2) * (2*2) = 8*4 = 32
we can also take 2 * (2*2*2*2) = 2 * 16 = 32
...
```
---
One example with bigger non prime numbers:
```
n = 272604817800326282227951471308464408608
We can take:
p = 17975460804519255044
q = 15165386899666573832
Or also:
p = 2
q = 136302408900163141113975735654232204304
...
```
In the real world:
- https://en.wikipedia.org/wiki/RSA_numbers
- https://en.wikipedia.org/wiki/RSA_Factoring_Challenge#The_prizes_and_records
So, we are basing this in the fact that is not easy to factorize big numbers composed by big primes.
---
# Keys generation
- PubK: $e$, $n$
- PrivK: $d$, $n$
- are choosen randomly 2 big prime numbers $p$ and $q$, that will be secrets
- $n = p * q$
- $λ$ is the Carmichael function
- $λ(n) = (p − 1) * (q − 1)$
- Choose a prime number $e$ that satisfies $1 < e < λ(n)$ and $gcd(e, λ(n))=1$
- Usually in examples is used $e = 2^16 + 1 = 65537$
- $d$ such as $e * d = 1 mod λ(n)$
- $d = e^(-1) mod λ(n) = e modinv λ(n)$
---
### Example
- `p = 3`
- `q = 11`
- `e = 7` value choosen between 1 and λ(n)=20, where λ(n) is not divisible by this value
- `n = 3 * 11 = 33`
- `λ(n) = (3-1) * (11-1) = 2 * 10 = 20`
- `d` such as `7 * d = 1 mod 20`
- `d = 3`
- PubK: `e=7, n=33`
- PrivK: `d=3, n=33`
---
### Naive code
```python
def egcd(a, b):
if a == 0:
return (b, 0, 1)
g, y, x = egcd(b%a,a)
return (g, x - (b//a) * y, y)
def modinv(a, m):
g, x, y = egcd(a, m)
if g != 1:
raise Exception('No modular inverse')
return x%m
```
---
```
def newKeys():
p = number.getPrime(n_length)
q = number.getPrime(n_length)
# pubK e, n
e = 65537
n = p*q
pubK = PubK(e, n)
# privK d, n
phi = (p-1) * (q-1)
d = modinv(e, phi)
privK = PrivK(d, n)
return({'pubK': pubK, 'privK': privK})
```
---
# Encryption
- Brenna wants to send the message `m` to Alice, so, will use the Public Key from Alice to encrypt `m`
- `m` powered at `e` of the public key from Alice
- evaluate at modulus of `n`
### Example
- message to encrypt `m = 5`
- receiver public key: `e=7, n=33`
- `c = 5 ^ 7 mod 33 = 78125 mod 33 = 14`
### Naive code
```python
def encrypt(pubK, m):
c = (m ** pubK.e) % pubK.n
return c
```
---
# Decrypt
- from an encrypted value `c`
- `c` powered at `d` of the private key of the person to who the message was encrypted
- evaluate at modulus of `n`
### Example
- receiver private key, PrivK: `d=3, n=33`
- `m = 14 ^ 3 mod 33 = 2744 mod 33 = 5`
### Naive code
```python
def decrypt(privK, c):
m_d = (c ** privK.d) % privK.n
return m_d
```
---
# What's going on when encrypting and decrypting?
![encrdecr](https://cdn-images-1.medium.com/max/1600/1*4AXQNOrddQJud0fZJ3FNgg.png "encrdecr")
---
```
n = pq
e
phi = (p-1)(q-1)
d = e^-1 mod (phi) = e^-1 mod (p-1)(q-1)
# encrypt
c = m^e mod n = m^e mod pq
# decrypt
m' = c^d mod n = c ^(e^-1 mod (p-1)(q-1)) mod pq =
= (m^e)^(e^-1 mod (p-1)(q-1)) mod pq =
= m^(e * e^-1 mod (p-1)(q-1)) mod pq =
= m^(1 mod (p-1)(q-1)) mod pq =
[theorem in which we're not going into details]
a ^ (1 mod λ(N)) mod N = a mod N
[/theorem]
= m mod pq
```
---
# Signature
- encryption operation but using PrivK instead of PubK, and PubK instead of PrivK
- having a message `m`
- power of `m` at `d` of the private key from the signer person
- evaluated at modulus `n`
---
### Example
- private key of the person emitter of the signature: `d = 3, n = 33`
- message to be signed: `m=5`
- signature: `s = 5 ** 3 % 33 = 26`
### Naive code
```python
def sign(privK, m):
s = (m ** privK.d) % privK.n
return s
```
---
# Verification of the signature
- having message `m` and the signature `s`
- elevate `m` at `e` of the public key from the signer
- evaluate at modulus of `n`
---
### Example
- public key from the singer person `e=7, n=33`
- message `m=5`
- signature `s=26`
- verification `v = 26**7 % 33 = 5`
- check that we have recovered the message (that `m` is equivalent to `v`) `m = 5 = v = 5`
### Naive code
```python
def verifySign(pubK, s, m):
v = (s ** pubK.e) % privK.n
return v==m
```
---
# Homomorphic Multiplication
- from two values $a$ and $b$
- encrypted are $a_{encr}$ and $b_{encr}$
- we can compute the multiplication of the two encrypted values, obtaining the result encrypted
- the encrypted result from the multiplication is calculated doing: $c_{encr} = a_{encr} * b_{encr} mod n$
- we can decrypt $c_{encr}$ and we will obtain $c$, equivalent to $a * b$
- Why:
```
((a^e mod n) * (b^e mod n)) mod n =
= (a^e * b^e mod n) mod n = (a*b)^e mod n
```
---
### Example
- PubK: `e=7, n=33`
- PrivK: `d=3, n=33`
- `a = 5`
- `b = 8`
- `a_encr = 5^7 mod 33 = 78125 mod 33 = 14`
- `b_encr = 8^7 mod 33 = 2097152 mod 33 = 2`
- `c_encr = (14 * 2) mod 33 = 28 mod 33 = 28`
- `c = 28 ^ 3 mod 33 = 21952 mod 33 = 7`
- `c = 7 = a * b % n = 5 * 8 % 33 = 7`, on `5*8 mod 33 = 7`
- take a `n` enough big, if not the result will be cropped by the modulus
---
### Naive code
```python
def homomorphic_mul(pubK, a, b):
c = (a*b) % pubK.n
return c
```
---
# Small demo
[...]
# And now... practical implementation
- full night long
- big ints are your friends

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# Shamir's Secret Sharing
<img src="https://arnaucube.com/img/logoArnauCubeTransparent.png" style="max-width:20%; float:right;" />
- https://arnaucube.com
- https://github.com/arnaucube
- https://twitter.com/arnaucube
<br><br><br>
<div style="float:right;font-size:80%;">
<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png" /></a>
<br>
2019-07-05
</div>
---
# Intro
- I'm not an expert on the field, neither a mathematician. Just an engineer with interest for cryptography
- Short talk (15 min), with the objective to make a practical introduction to the Shamir's Secret Sharing algorithm
- Is not a talk about mathematical demostrations, is a talk with the objective to get the basic notions to be able to do a practical implementation of the algorithm
- After the talk, we will do a practical workshop to implement the concepts. We can offer support for Go, Rust, Python and Nodejs (you can choose any other language, but we will not be able to help)
---
- Cryptographic algorithm
- Created by Adi Shamir, in 1979
- also known by the $RSA$ cryptosystem
- explained in few months ago in a similar talk: https://github.com/arnaucube/slides/rsa
---
## What's this about?
- imagine having a password that you want to share with 5 persons, in a way that they need to join their parts to get the original password
- take the password, split it in 5 parts, and give one part to each one
- when they need to recover it, they just need to get together, put all the pieces and recover the password (the `secret`)
- this, has the problem that if a person looses its part, the secret will not be recovered anymore.. luckly we have a solution here:
---
- Shamir's Secret Sharing:
- from a secret to be shared, we generate 5 parts, but we can specify a number of parts that are needed to recover the secret
- so for example, we generate 5 parts, where we will need only 3 of that 5 parts to recover the secret, and the order doesn't matter
- we have the ability to define the thresholds of $M$ parts to be created, and $N$ parts to be able the recover
---
- 2 points are sufficient to define a line
- 3 points are sufficient to define a parabola
- 4 points are sufficient to define a cubic curve
- $K$ points are suficient to define a polynomial of degree $k-1$
We can create infinity of polynomials of degree 2, that goes through 2 points, but with 3 points, we can define a polynomial of degree 2 unique.
![](https://upload.wikimedia.org/wikipedia/commons/thumb/6/66/3_polynomials_of_degree_2_through_2_points.svg/220px-3_polynomials_of_degree_2_through_2_points.svg.png)
---
## Naming
- `s`: secret
- `m`: number of parts to be created
- `n`: number of minimum parts necessary to recover the secret
- `p`: random prime number, the Finite Field will be over that value
---
## Secret generation
- we want that are necessary $n$ parts of $m$ to recover $s$
- where $n<m$
- need to create a polynomial of degree $n-1$
$f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x^2 + \alpha_3 x^3 + ... + + \alpha_{n-1} x^{n-1}$
- where $\alpha_0$ is the secret $s$
- $\alpha_i$ are random values that build the polynomial
*where $\alpha_0$ is the secret to share, and $\alpha_i$ are the random values inside the $Finite Field$
---
$f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x^2 + \alpha_3 x^3 + ... + + \alpha_{n-1} x^{n-1}$
- the packets that we will generate are $P = (x, f(x))$
- where $x$ is each one of the values between $1$ and $m$
- $P_1=(1, f(1))$
- $P_2=(2, f(2))$
- $P_3=(3, f(3))$
- ...
- $P_m=(m, f(m))$
---
## Secret recovery
- in order to recover the secret $s$, we will need a minimum of $n$ points of the polynomial
- the order doesn't matter
- with that $n$ parts, we do Lagrange Interpolation/Polynomial Interpolation
---
## Polynomial Interpolation / Lagrange Interpolation
- for a group of points, we can find the smallest degree polynomial that goees through all that points
- this polynomial is unique for each group of points
![](https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/Lagrange_polynomial.svg/440px-Lagrange_polynomial.svg.png)
---
![](https://www.researchgate.net/profile/Chinthanie_Weerakoon/publication/319703488/figure/fig4/AS:614100010799117@1523424260513/Lagrange-Interpolation-Technique.png)
---
$L(x) = \sum_{j=0}^{n} y_j l_j(x)$
<br><br>
![](https://wikimedia.org/api/rest_v1/media/math/render/svg/6e2c3a2ab16a8723c0446de6a30da839198fb04b)
---
## Wikipedia example
*example over real numbers, in the practical world, we use the algorithm in the Finite Field over $p$
<span style="font-size:70%;float:right;">(more details: https://en.wikipedia.org/wiki/Shamir's_Secret_Sharing#Problem)</span><br>
- $s=1234$
- $m=6$
- $n=3$
- $f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x^2$
- $\alpha_0 = s = 1234$
- $\alpha_1 = 166$ *(random)*
- $\alpha_2 = 94$ *(random)*
- $f(x) = 1234 + 166 x + 94 x^2$
---
- $f(x) = 1234 + 166 x + 94 x^2$
- we calculate the points $P = (x, f(x))$
- where $x$ is each one of the values between $1$ and $m$
- $P_1=(1, f(1)) = (1, 1494)$
- $P_2=(2, f(2)) = (2, 1942)$
- $P_3=(3, f(3)) = (3, 2578)$
- $P_4=(4, f(4)) = (4, 3402)$
- $P_5=(5, f(5)) = (5, 4414)$
- $P_6=(6, f(6)) = (6, 5614)$
---
- to recover the secret, let's imagine that we take the packets 2, 4, 5
- $(x_0, y_0) = (2, 1942)$
- $(x_0, y_0) = (4, 3402)$
- $(x_0, y_0) = (5, 4414)$
---
- let's calculate the Lagrange Interpolation
- ![](https://wikimedia.org/api/rest_v1/media/math/render/svg/388471f79b8d3bdb75851b99ed15e5849329cc84)
- ![](https://wikimedia.org/api/rest_v1/media/math/render/svg/3c853bdf0daa2db92cd70a6ab21dfd858296cfdd)
- ![](https://wikimedia.org/api/rest_v1/media/math/render/svg/2013ee56aba68b07d8d4a2c6578e77ff8e8940ff)
- ![](https://wikimedia.org/api/rest_v1/media/math/render/svg/32fc145272d82d9ebf62b4e30a05eac2b7d2873a)
- obtaining $f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x^2$, where $\alpha_0$ is the secret $s$ recovered
- where we eavluate the polynomial at $f(0)$, obtaining $\alpha_0 = s$
- *we are not going into details now, but if you want in the practical workshop we can analyze the 'mathematical' part of all of this
---
# And now... practical implementation
- full night long
- big ints are your friends
- $L(x) = \sum_{j=0}^{n} y_j l_j(x)$
![](https://wikimedia.org/api/rest_v1/media/math/render/svg/6e2c3a2ab16a8723c0446de6a30da839198fb04b)
# About
<img src="https://arnaucube.com/img/logoArnauCubeTransparent.png" style="max-width:20%; float:right;" />
- https://arnaucube.com
- https://github.com/arnaucube
- https://twitter.com/arnaucube
<br>
<div style="float:right;font-size:80%;">
<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png" /></a>
<br>
2019-07-05
</div>

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module demo
go 1.12
require (
github.com/arnaucube/go-snark v0.0.4 // indirect
github.com/stretchr/testify v1.4.0 // indirect
)

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github.com/arnaucube/go-snark v0.0.4 h1:JJbQx/wg0u1mzJk9Of/rqCkclPgXuvPrLWHfvgnoyEE=
github.com/arnaucube/go-snark v0.0.4/go.mod h1:m1VkAgz3F+Jdighf2n5eMLe670AR6fBhBGfVHwz2QRk=
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
github.com/stretchr/testify v1.2.2/go.mod h1:a8OnRcib4nhh0OaRAV+Yts87kKdq0PP7pXfy6kDkUVs=
github.com/stretchr/testify v1.4.0 h1:2E4SXV/wtOkTonXsotYi4li6zVWxYlZuYNCXe9XRJyk=
github.com/stretchr/testify v1.4.0/go.mod h1:j7eGeouHqKxXV5pUuKE4zz7dFj8WfuZ+81PSLYec5m4=
github.com/urfave/cli v1.20.0/go.mod h1:70zkFmudgCuE/ngEzBv17Jvp/497gISqfk5gWijbERA=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/yaml.v2 v2.2.2 h1:ZCJp+EgiOT7lHqUV2J862kp8Qj64Jo6az82+3Td9dZw=
gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=

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package main
import (
"encoding/json"
"fmt"
"math/big"
"strings"
"time"
"github.com/arnaucube/go-snark"
"github.com/arnaucube/go-snark/circuitcompiler"
)
func main() {
// circuit function
// y = x^5 + 2*x + 6
code := `
func exp5(private a):
b = a * a
c = a * b
d = a * c
e = a * d
return e
func main(private s0, public s1):
s2 = exp5(s0)
s3 = s0 * 2
s4 = s3 + s2
s5 = s4 + 6
equals(s1, s5)
out = 1 * 1
`
fmt.Print("\ncode of the circuit:")
fmt.Println(code)
// parse the code
parser := circuitcompiler.NewParser(strings.NewReader(code))
circuit, err := parser.Parse()
if err != nil {
panic(err)
}
fmt.Println("\ncircuit data:", circuit)
circuitJson, _ := json.Marshal(circuit)
fmt.Println("circuit:", string(circuitJson))
b8 := big.NewInt(int64(8))
privateInputs := []*big.Int{b8}
b32790 := big.NewInt(int64(32790))
publicSignals := []*big.Int{b32790}
// wittness
w, err := circuit.CalculateWitness(privateInputs, publicSignals)
if err != nil {
panic(err)
}
// code to R1CS
fmt.Println("\ngenerating R1CS from code")
a, b, c := circuit.GenerateR1CS()
fmt.Println("\nR1CS:")
fmt.Println("a:", a)
fmt.Println("b:", b)
fmt.Println("c:", c)
// R1CS to QAP
// TODO zxQAP is not used and is an old impl, TODO remove
alphas, betas, gammas, _ := snark.Utils.PF.R1CSToQAP(a, b, c)
fmt.Println("qap")
fmt.Println(alphas)
fmt.Println(betas)
fmt.Println(gammas)
_, _, _, px := snark.Utils.PF.CombinePolynomials(w, alphas, betas, gammas)
// calculate trusted setup
setup, err := snark.GenerateTrustedSetup(len(w), *circuit, alphas, betas, gammas)
if err != nil {
panic(err)
}
fmt.Println("\nt:", setup.Toxic.T)
// zx and setup.Pk.Z should be the same (currently not, the correct one is the calculation used inside GenerateTrustedSetup function), the calculation is repeated. TODO avoid repeating calculation
proof, err := snark.GenerateProofs(*circuit, setup.Pk, w, px)
if err != nil {
panic(err)
}
fmt.Println("\n proofs:")
fmt.Println(proof)
// fmt.Println("public signals:", proof.PublicSignals)
fmt.Println("\nsignals:", circuit.Signals)
fmt.Println("witness:", w)
b32790Verif := big.NewInt(int64(32790))
publicSignalsVerif := []*big.Int{b32790Verif}
before := time.Now()
if !snark.VerifyProof(setup.Vk, proof, publicSignalsVerif, true) {
fmt.Println("Verification not passed")
}
fmt.Println("verify proof time elapsed:", time.Since(before))
// check that with another public input the verification returns false
bOtherWrongPublic := big.NewInt(int64(34))
wrongPublicSignalsVerif := []*big.Int{bOtherWrongPublic}
if snark.VerifyProof(setup.Vk, proof, wrongPublicSignalsVerif, true) {
fmt.Println("Verification should not have passed")
}
}

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# zkSNARKs from scratch, a technical explanation
<br><br><br>
<div style="float:right; text-align:right;">
<img style="width:80px" src="imgs/arnaucube.png" /> <br>
[arnaucube.com](https://arnaucube.com)
[github.com/arnaucube](https://github.com/arnaucube)
[twitter.com/arnaucube](https://twitter.com/arnaucube)
<br>
<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png" /></a>
2019-08-20
</div>
<img style="width:200px;" src="imgs/iden3.png" /> <br>
[iden3.io](https://iden3.io)
[github.com/iden3](https://github.com/iden3)
[twitter.com/identhree](https://twitter.com/identhree)
---
## Warning
<div style="font-size:90%;">
- I'm not a mathematician, this talk is not for mathematicians
- In free time, have been studying zkSNARKS & implementing it in Go
- Talk about a technical explaination from an engineer point of view
- The idea is to try to transmit the learnings from long night study hours during last winter
- Also at the end will briefly overview how we use zkSNARKs in iden3
- This slides will be combined with
- parts of the code from https://github.com/arnaucube/go-snark
- whiteboard draws and writtings
- Don't use your own crypto. But it's fun to implement it (only for learning purposes)
</div>
---
## Contents
<div style="font-size: 90%;">
- Introduction
- zkSNARK overview
- zkSNARK flow
- Generating and verifying proofs
- Foundations
- Basics of modular arithmetic
- Groups
- Finite fields
- Elliptic curve operations
- Pairings
- Bilinear Pairings
- BLS signatures
</div>
---
<div style="font-size: 90%;">
- zkSNARK (Pinocchio)
- Circuit compiler
- R1CS
- QAP
- Lagrange Interpolation
- Trusted Setup
- Proofs generation
- Proofs verification
- Groth16
- How we use zkSNARKs in iden3
- libraries
- Circuit languages
- utilities (Elliptic curve & Hash functions) inside the zkSNARK libraries
- BabyJubJub
- Mimc
- Poseidon
- References
</div>
---
## Introduction
- zero knowledge concept
- examples
- some concept explanations
- https://en.wikipedia.org/wiki/Zero-knowledge_proof
- https://hackernoon.com/wtf-is-zero-knowledge-proof-be5b49735f27
---
## zkSNARK overview
- protocol to prove the correctness of a computation
- useful for
- scalability
- privacy
- interoperability
- examples:
- Alice can prove to Brenna that knows $x$ such as $f(x) = y$
- Brenna can prove to Alice that knows a certain input which $Hash$ results in a certain known value
- Carol can proof that is a member of an organization without revealing their identity
- etc
---
### zkSNARK flow
<div style="text-align:center;">
<img src="imgs/zksnark-concept-flow.png"/>
</div>
---
### Generating and verifying proofs
Generating a proof:
<img src="imgs/zksnark-prover.png"/>
<img src="imgs/cat04.jpeg" style="float:right; width:300px;" />
<br><br>
Verifying a proof:
<img src="imgs/zksnark-verifier.png"/>
---
## Foundations
- Modular aritmetic
- Groups
- Finite fields
- Elliptic Curve Cryptography
---
## Basics of modular arithmetic
- Modulus, `mod`, `%`
- Remainder after division of two numbers
![clocks](https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/Clock_group.svg/220px-Clock_group.svg.png "clocks")
```python
5 mod 12 = 5
14 mod 12 = 2
83 mod 10 = 3
```
```python
5 + 3 mod 6 = 8 mod 6 = 2
```
---
## Groups
- a **set** with an **operation**
- **operation** must be *associative*
- neutral element ($identity$): adding the neutral element to any element gives the element
- inverse: $e$ + $e_{inverse}$ = $identity$
- cyclic groups
- finite group with a generator element
- any element must be writable by a multiple of the generator element
- abelian group
- group with *commutative* operation
---
## Finite fields
- algebraic structure like Groups, but with **two operations**
- extended fields concept (https://en.wikipedia.org/wiki/Field_extension)
---
## Elliptic curve
- point addition
$(x_1, y_1) + (x_2, y_2) =
(\dfrac{
x_1 y_2 + x_2 y_1
}{
1 + d x_1 x_2 y_1 y_2
},
\dfrac{
y_1 y_2 - x_1 x_2
}{
1-dx_1 x_2 y_1 y_2
})$
- G1
- G2
*(whiteboard explanation)*
---
## Pairings
- 3 typical types used for SNARKS:
- BN (Barreto Naehrig) - used in Ethereum
- BLS (Barreto Lynn Scott) - used in ZCash & Ethereum 2.0
- MNT (Miyaji- Nakabayashi - Takano) - used in CodaProtocol
- $y^2 = x^3 + b$ with embedding degree 12
- function that maps (pairs) two points from sets `S1` and `S2` into another set `S3`
- is a [bilinear](https://en.wikipedia.org/wiki/Bilinear_map) function
- $e(G_1, G_2) -> G_T$
- the groups must be
- cyclic
- same prime order ($r$)
---
- $F_q$, where $q=$`21888242871839275222246405745257275088696311157297823662689037894645226208583`
- $F_r$, where $r=$`21888242871839275222246405745257275088548364400416034343698204186575808495617`
---
## Bilinear Pairings
$e(P_1 + P_2, Q_1) == e(P_1, Q_1) \cdot e(P_2, Q_1)$
$e(P_1, Q_1 + Q_2) == e(P_1, Q_1) \cdot e(P_1, Q_2)$
$e(aP, bQ) == e(P, Q)^{ab} == e(bP, aQ)$
<img src="imgs/cat01.jpeg" style="float:right; width:300px;" />
$e(g_1, g_2)^6 == e(g_1, 6 \cdot g_2)$
$e(g_1, g_2)^6 == e(6 \cdot g_1, g_2)$
$e(g_1, g_2)^6 == e(3 \cdot g_1, 2 g_2)$
$e(g_1, g_2)^6 == e(2 \cdot g_1, 3 g_2)$
---
### BLS signatures
*(small overview, is offtopic here, but is interesting)*
- key generation
- random private key $x$ in $[0, r-1]$
- public key $g^x$
- signature
- $h=Hash(m)$ (over G2)
- signature $\sigma=h^x$
- verification
- check that: $e(g, \sigma) == e(g^x, Hash(m))$
$e(g, h^x) == e(g^x, h)$
---
- aggregate signatures
- $s = s0 + s1 + s2 ...$
- verify aggregated signatures
<div style="font-size:75%">
$e(G,S) == e(P, H(m))$
$e(G, s0+s1+s2...) == e(p0, H(m)) \cdot e(p1, H(m)) \cdot e(p2, H(m)) ...$
</div>
More info: https://crypto.stanford.edu/~dabo/pubs/papers/BLSmultisig.html
---
## Circuit compiler
- not a software compiler -> a constraint prover
- what this means
- constraint concept
- `value0` == `value1` `<operation>` `value2`
- want to proof that a certain computation has been done correctly
- graphic of circuit with gates (whiteboard)
- about high level programing languages for zkSNARKS, by *Harry Roberts*: https://www.youtube.com/watch?v=nKrBJo3E3FY
---
Circuit code example:
$f(x) = x^5 + 2\cdot x + 6$
```
func exp5(private a):
b = a * a
c = a * b
d = a * c
e = a * d
return e
func main(private s0, public s1):
s2 = exp5(s0)
s3 = s0 * 2
s4 = s3 + s2
s5 = s4 + 6
equals(s1, s5)
out = 1 * 1
```
---
## Inputs and Witness
For a certain circuit, with the inputs that we calculate the Witness for the circuit signals
- private inputs: `[8]`
- in this case the private input is the 'secret' $x$ value that computed into the equation gives the expected $f(x)$
- public inputs: `[32790]`
- in this case the public input is the result of the equation
- signals: `[one s1 s0 b0 c0 d0 s2 s3 s4 s5 out]`
- witness: `[1 32790 8 64 512 4096 32768 16 32784 32790 1]`
---
## R1CS
- Rank 1 Constraint System
- way to write down the constraints by 3 linear combinations
- 1 constraint per operation
- $(A, B, C) = A.s \cdot B.s - C.s = 0$
- from flat code constraints we can generate the R1CS
---
## R1CS
<div style="font-size:65%">
$(a_{11}s_1 + a_{12}s_2 + ... + a_{1n}s_n) \cdot (b_{11}s_1 + b_{12}s_2 + ... + b_{1n}s_n) - (c_{11}s_1 + c_{12}s_2 + ... + c_{1n}s_n) = 0$
$(a_{21}s_1 + a_{22}s_2 + ... + a_{2n}s_n) \cdot (b_{21}s_1 + b_{22}s_2 + ... + b_{2n}s_n) - (c_{21}s_1 + c_{22}s_2 + ... + c_{2n}s_n) = 0$
$(a_{31}s_1 + a_{32}s_2 + ... + a_{3n}s_n) \cdot (b_{31}s_1 + b_{32}s_2 + ... + b_{3n}s_n) - (c_{31}s_1 + c_{32}s_2 + ... + c_{3n}s_n) = 0$
[...]
$(a_{m1}s_1 + a_{m2}s_2 + ... + a_{mn}s_n) \cdot (b_{m1}s_1 + b_{m2}s_2 + ... + b_{mn}s_n) - (c_{m1}s_1 + c_{m2}s_2 + ... + c_{mn}s_n) = 0$
*where $s$ are the signals of the circuit, and we need to find $a, b, c$ that satisfies the equations
</div>
---
R1CS constraint example:
- signals: `[one s1 s0 b0 c0 d0 s2 s3 s4 s5 out]`
- witness: `[1 32790 8 64 512 4096 32768 16 32784 32790 1]`
- First constraint flat code: `b0 == s0 * s0`
- R1CS first constraint:
$A_1 = [00100000000]$
$B_1 = [00100000000]$
$C_1 = [00010000000]$
---
R1CS example:
| $A$| $B$ | $C$: |
|-|-|-|
| $[0 0 1 0 0 0 0 0 0 0 0]$<br>$[0 0 1 0 0 0 0 0 0 0 0]$<br>$[0 0 1 0 0 0 0 0 0 0 0]$<br>$[0 0 1 0 0 0 0 0 0 0 0]$<br>$[0 0 1 0 0 0 0 0 0 0 0]$<br>$[0 0 0 0 0 0 1 1 0 0 0]$<br>$[6 0 0 0 0 0 0 0 1 0 0]$<br>$[0 0 0 0 0 0 0 0 0 1 0]$<br>$[0 1 0 0 0 0 0 0 0 0 0]$<br>$[1 0 0 0 0 0 0 0 0 0 0]$ | $[0 0 1 0 0 0 0 0 0 0 0]$<br>$[0 0 0 1 0 0 0 0 0 0 0]$<br>$[0 0 0 0 1 0 0 0 0 0 0]$<br>$[0 0 0 0 0 1 0 0 0 0 0]$<br>$[2 0 0 0 0 0 0 0 0 0 0]$<br>$[1 0 0 0 0 0 0 0 0 0 0]$<br>$[1 0 0 0 0 0 0 0 0 0 0]$<br>$[1 0 0 0 0 0 0 0 0 0 0]$<br>$[1 0 0 0 0 0 0 0 0 0 0]$<br>$[1 0 0 0 0 0 0 0 0 0 0]$ | $[0 0 0 1 0 0 0 0 0 0 0]$ <br>$[0 0 0 0 1 0 0 0 0 0 0]$<br>$[0 0 0 0 0 1 0 0 0 0 0]$<br>$[0 0 0 0 0 0 1 0 0 0 0]$<br>$[0 0 0 0 0 0 0 1 0 0 0]$<br>$[0 0 0 0 0 0 0 0 1 0 0]$<br>$[0 0 0 0 0 0 0 0 0 1 0]$<br>$[0 1 0 0 0 0 0 0 0 0 0]$<br>$[0 0 0 0 0 0 0 0 0 1 0]$<br>$[0 0 0 0 0 0 0 0 0 0 1]$ |
---
## QAP
- Quadratic Arithmetic Programs
- 3 polynomials, linear combinations of R1CS
- very good article about QAP by Vitalik Buterin https://medium.com/@VitalikButerin/quadratic-arithmetic-programs-from-zero-to-hero-f6d558cea649
---
![qap](imgs/qap-screenshot.png)
---
### Lagrange Interpolation
(Polynomial Interpolation)
- for a group of points, we can find the smallest degree polynomial that goees through all that points
- this polynomial is unique for each group of points
![](https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/Lagrange_polynomial.svg/440px-Lagrange_polynomial.svg.png)
---
$L(x) = \sum_{j=0}^{n} y_j l_j(x)$
<br><br>
![](https://wikimedia.org/api/rest_v1/media/math/render/svg/6e2c3a2ab16a8723c0446de6a30da839198fb04b)
---
#### Shamir's Secret Sharing
*(small overview, is offtopic here, but is interesting)*
- from a secret to be shared, we generate 5 parts, but we can specify a number of parts that are needed to recover the secret
- so for example, we generate 5 parts, where we will need only 3 of that 5 parts to recover the secret, and the order doesn't matter
- we have the ability to define the thresholds of $M$ parts to be created, and $N$ parts to be able the recover
---
##### Shamir's Secret Sharing - Secret generation
- we want that are necessary $n$ parts of $m$ to recover $s$
- where $n<m$
- need to create a polynomial of degree $n-1$
$f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x^2 + \alpha_3 x^3 + ... + + \alpha_{n-1} x^{n-1}$
- where $\alpha_0$ is the secret $s$
- $\alpha_i$ are random values that build the polynomial
*where $\alpha_0$ is the secret to share, and $\alpha_i$ are the random values inside the $Finite Field$
---
$f(x) = \alpha_0 + \alpha_1 x + \alpha_2 x^2 + \alpha_3 x^3 + ... + + \alpha_{n-1} x^{n-1}$
- the packets that we will generate are $P = (x, f(x))$
- where $x$ is each one of the values between $1$ and $m$
- $P_1=(1, f(1))$
- $P_2=(2, f(2))$
- $P_3=(3, f(3))$
- ...
- $P_m=(m, f(m))$
---
##### Shamir's Secret Sharing - Secret recovery
- in order to recover the secret $s$, we will need a minimum of $n$ points of the polynomial
- the order doesn't matter
- with that $n$ parts, we do Lagrange Interpolation/Polynomial Interpolation, recovering the original polynomial
---
## QAP
<div style="font-size:50%">
$(\alpha_1(x)s_1 + \alpha_2(x)s_2 + ... + \alpha_n(x)s_n) \cdot (\beta_1(x)s_1 + \beta_2(x)s_2 + ... + \beta_n(x)s_n) - (\gamma_1(x)s_1 + \gamma_2(x)s_2 + ... + \gamma_n(x)s_n) = P(x)$
|----------------------- $A(x)$ -----------------------|------------------------ $B(x)$ -----------------------|------------------------ $C(x)$ ------------------------|
</div>
<div style="font-size:70%">
- $P(x) = A(x)B(x)-C(x)$
- $P(x) = Z(x) h(x)$
- $Z(x)$: divisor polynomial
- $Z(x) = (x - x_1)(x-x_2)...(x-x_m) => ...=> (x_1, 0), (x_2, 0), ..., (x_m, 0)$
- optimizations with FFT
- $h(x) = P(x) / Z(x)$
</div>
---
*The following explanation is for the [Pinocchio protocol](https://eprint.iacr.org/2013/279.pdf), all the examples will be for this protocol. The [Groth16](https://eprint.iacr.org/2016/260.pdf) is explained also in the end of this slides.*
---
## Trusted Setup
- concept
- $\tau$ (Tau)
- "Toxic waste"
- Proving Key
- Verification Key
---
$g_1 t^0, g_1 t^1, g_1 t^2, g_1 t^3, g_1 t^4, ...$
$g_2 t^0, g_2 t^1, g_2 t^2, g_2 t^3, g_2 t^4, ...$
---
Proving Key:
$pk = (C, pk_A, pk_A', pk_B, pk_B', pk_C, pk_C', pk_H)$ where:
- $pk_A = \{ A_i(\tau) \rho_A P_1 \}^{m+3}_{i=0}$
- $pk_A' = \{ A_i(\tau) \alpha_A \rho_A P_1 \}^{m+3}_{i=n+1}$
- $pk_B = \{ B_i(\tau) \rho_B P_2 \}^{m+3}_{i=0}$
- $pk_B' = \{ B_i(\tau) \alpha_B \rho_B P_1 \}^{m+3}_{i=0}$
- $pk_C = \{ C_i(\tau) \rho_C P_1 \}^{m+3}_{i=0} = \{C_i(\tau) \rho_A \rho_B P_1\}^{m+3}_{i=0}$
- $pk_C' = \{ C_i(\tau) \alpha_C \rho_C P_1 \}^{m+3}_{i=0} = \{ C_i(\tau) \alpha_C \rho_A \rho_B P_1 \}^{m+3}_{i=0}$
- $pk_K = \{ \beta (A_i(\tau) \rho_A + B_i(\tau) \rho_B C_i(\tau) \rho_A \rho_B) P_1 \} ^{m+3}_{i=0}$
- $pk_H = \{ \tau^i P_1 \}^d_{i=0}$
where:
- $d$: degree of polynomial $Z(x)$
- $m$: number of circuit signals
---
Verification Key:
$vk = (vk_A, vk_B, vk_C, vk_\gamma, vk^1_{\beta\gamma}, vk^2_{\beta\gamma}, vk_Z, vk_{IC})$
- $vk_A = \alpha_A P_2$, $vk_B = \alpha_B P_1$, $vk_C = \alpha_C P_2$
- $vk_{\beta\gamma} = \gamma P_2$, $vk^1_{\beta\gamma} = \beta\gamma P_1$, $vk^2_{\beta\gamma} = \beta\gamma P_2$
- $vk_Z = Z(\tau) \rho_A \rho_B P_2$, $vk_{IC} = (A_i(\tau) \rho_A P_1)^n_{i=0}$
---
```go
type Pk struct { // Proving Key pk:=(pkA, pkB, pkC, pkH)
G1T [][3]*big.Int // t encrypted in G1 curve, G1T == Pk.H
A [][3]*big.Int
B [][3][2]*big.Int
C [][3]*big.Int
Kp [][3]*big.Int
Ap [][3]*big.Int
Bp [][3]*big.Int
Cp [][3]*big.Int
Z []*big.Int
}
type Vk struct {
Vka [3][2]*big.Int
Vkb [3]*big.Int
Vkc [3][2]*big.Int
IC [][3]*big.Int
G1Kbg [3]*big.Int // g1 * Kbeta * Kgamma
G2Kbg [3][2]*big.Int // g2 * Kbeta * Kgamma
G2Kg [3][2]*big.Int // g2 * Kgamma
Vkz [3][2]*big.Int
}
```
---
```go
// Setup is the data structure holding the Trusted Setup data. The Setup.Toxic sub struct must be destroyed after the GenerateTrustedSetup function is completed
type Setup struct {
Toxic struct {
T *big.Int // trusted setup secret
Ka *big.Int
Kb *big.Int
Kc *big.Int
Kbeta *big.Int
Kgamma *big.Int
RhoA *big.Int
RhoB *big.Int
RhoC *big.Int
}
Pk Pk
Vk Vk
}
```
---
## Proofs generation
- $A, B, C, Z$ (from the QAP)
- random $\delta_1, \delta_2, \delta_3$
- $H(z)= \dfrac{A(z)B(z)-C(z)}{Z(z)}$
- $A(z) = A_0(z) + \sum_{i=1}^m s_i A_i(x) + \delta_1 Z(z)$
- $B(z) = B_0(z) + \sum_{i=1}^m s_i B_i(x) + \delta_2 Z(z)$
- $C(z) = C_0(z) + \sum_{i=1}^m s_i B_i(x) + \delta_2 Z(z)$
(where $m$ is the number of public inputs)
---
- $\pi_A = <c, pk_A>$
- $\pi_A' = <c, pk_A'>$
- $\pi_B = <c, pk_B>$
- example:
```go
for i := 0; i < circuit.NVars; i++ {
proof.PiB = Utils.Bn.G2.Add(proof.PiB, Utils.Bn.G2.MulScalar(pk.B[i], w[i]))
proof.PiBp = Utils.Bn.G1.Add(proof.PiBp, Utils.Bn.G1.MulScalar(pk.Bp[i], w[i]))
}
```
($c=1+witness+\delta_1+\delta_2+\delta_3$
- $\pi_B' = <c, pk_B'>$
- $\pi_C = <c, pk_C>$
- $\pi_C' = <c, pk_C'>$
- $\pi_K = <c, pk_K>$
- $\pi_H = <h, pk_KH>$
- proof: $\pi = (\pi_A, \pi_A', \pi_B, \pi_B', \pi_C, \pi_C', \pi_K, \pi_H$
---
## Proofs verification
<img src="imgs/cat03.jpeg" style="float:right; width:300px;" />
- $vk_{kx} = vk_{IC,0} + \sum_{i=1}^n x_i vk_{IC,i}$
Verification:
- $e(\pi_A, vk_a) == e(\pi_{A'}, g_2)$
- $e(vk_b, \pi_B) == e(\pi_{B'}, g_2)$
- $e(\pi_C, vk_c) == e(\pi_{C'}, g_2)$
- $e(vk_{kx}+\pi_A, \pi_B) == e(\pi_H, vk_{kz}) \cdot e(\pi_C, g_2)$
- $e(vk_{kx} + \pi_A + \pi_C, V_{\beta\gamma}^2) \cdot e(vk_{\beta\gamma}^1, \pi_B) == e(\pi_k, vk_{\gamma}^1)$
---
<div style="font-size:60%">
Example (whiteboard):
<br><br>
$\dfrac{
e(\pi_A, \pi_B)
}{
e(\pi_C, g_2)
}
= e(g_1 h(t), g_2 z(t))
$
<br>
$\dfrac{
e(A_1 + A_2 + ... + A_n, B_1 + B_2 + ... + B_n)
}{
e(C_1 + C_2 + ... + C_n, g_2)
}
= e(g_1 h(t), g_2 z(t))
$
<br>
$\dfrac{
e(g_1 \alpha_1(t) s_1 + g_1 \alpha_2(t) s_2 + ... + g_1 \alpha_n(t) s_n, g_2 \beta_1(t)s_1 + g_2 \beta_2(t) s_2 + ... + g_2 \beta_n(t) s_n)
}{
e(g_1 \gamma_1(t) s_1 + g_1 \gamma_2(t) s_2 + ... + g_1 \gamma_n(t) s_n, g_2)
}
= e(g_1 h(t), g_2 z(t))
$
<br>
$
e(g_1 \alpha_1(t) s_1 + g_1 \alpha_2(t) s_2 + ... + g_1 \alpha_n(t) s_n, g_2 \beta_1(t)s_1 + g_2 \beta_2(t) s_2 + ... + g_2 \beta_n(t) s_n)$
$= e(g_1 h(t), g_2 z(t)) \cdot e(g_1 \gamma_1(t) s_1 + g_1 \gamma_2(t) s_2 + ... + g_1 \gamma_n(t) s_n, g_2)
$
</div>
---
## Groth16
<img src="imgs/cat02.jpeg" style="float:right; width:300px;" />
### Trusted Setup
$\tau = \alpha, \beta, \gamma, \delta, x$
$\sigma_1 =$
- $\alpha, \beta, \delta, \{ x^i\}_{i=0}^{n-1}$
- $\{
\dfrac{
\beta u_i(x) + \alpha v_i(x) + w_i(x)
}{
\gamma
}
\}_{i=0}^l$
- $\{
\dfrac{
\beta u_i(x) + \alpha v_i(x) + w_i(x)
}{
\delta
}
\}_{i=l+1}^m$
- $\{
\dfrac{x^i t(x)}{\delta}
\}_{i=0}^{n-2}$
$\sigma_2 = (\beta, \gamma, \delta, \{ x^i \}_{i=0}^{n-1})$
*(where $u_i(x), v_i(x), w_i(x)$ are the $QAP$)*
---
```go
type Pk struct { // Proving Key
BACDelta [][3]*big.Int // {( βui(x)+αvi(x)+wi(x) ) / δ } from l+1 to m
Z []*big.Int
G1 struct {
Alpha [3]*big.Int
Beta [3]*big.Int
Delta [3]*big.Int
At [][3]*big.Int // {a(τ)} from 0 to m
BACGamma [][3]*big.Int // {( βui(x)+αvi(x)+wi(x) ) / γ } from 0 to m
}
G2 struct {
Beta [3][2]*big.Int
Gamma [3][2]*big.Int
Delta [3][2]*big.Int
BACGamma [][3][2]*big.Int // {( βui(x)+αvi(x)+wi(x) ) / γ } from 0 to m
}
PowersTauDelta [][3]*big.Int // powers of τ encrypted in G1 curve, divided by δ
}
```
---
```go
type Vk struct {
IC [][3]*big.Int
G1 struct {
Alpha [3]*big.Int
}
G2 struct {
Beta [3][2]*big.Int
Gamma [3][2]*big.Int
Delta [3][2]*big.Int
}
}
```
---
```go
// Setup is the data structure holding the Trusted Setup data. The Setup.Toxic sub struct must be destroyed after the GenerateTrustedSetup function is completed
type Setup struct {
Toxic struct {
T *big.Int // trusted setup secret
Kalpha *big.Int
Kbeta *big.Int
Kgamma *big.Int
Kdelta *big.Int
}
Pk Pk
Vk Vk
}
```
---
#
## Proofs Generation
$\pi_A=\alpha + \sum_{i=0}^m \alpha_i u_i(x) + r \delta$
$\pi_B=\beta + \sum_{i=0}^m \alpha_i v_i(x) + s \delta$
<div style="font-size:80%;">
$\pi_C = \dfrac{
\sum_{i=l+1}^m a_i(\beta u_i(x) + \alpha v_i(x) + w_i(x)) + h(x)t(x)
}{
\delta
} + \pi_As + \pi_Br -rs\delta$
</div>
$\pi=\pi_A^1, \pi_B^1, \pi_C^2$
---
### Proof Verification
<div style="font-size:75%;">
$[\pi_A]_1 \cdot [\pi_B]_2 = [\alpha]_1 \cdot [\beta]_2 +
\sum_{i=0}^l a_i [
\dfrac{
\beta u_i(x) + \alpha v_i(x) + w_i(x)
}{
\gamma
}
]_1
\cdot [\gamma]_2 + [\pi_C]_1 \cdot [\delta]_2
$
</div>
$e(\pi_A, \pi_B) = e(\alpha, \beta) \cdot e(pub, \gamma) \cdot e(\pi_C, \delta)$
---
## How we use zkSNARKs in iden3
- proving a credentials without revealing it's content
- proving that an identity has a claim issued by another identity, without revealing all the data
- proving any property of an identity
- $ITF$ (Identity Transition Function), a way to prove with a zkSNARK that an identity has been updated following the defined protocol
- identities can not cheat when issuing claims
- etc
## Other ideas for free time side project
- Zendermint (Tendermint + zkSNARKs)
---
<img src="imgs/cat05.jpeg" style="float:right; width:300px;" />
## zkSNARK libraries
- [bellman](https://github.com/zkcrypto/bellman) (rust)
- [libsnark](https://github.com/scipr-lab/libsnark) (c++)
- [snarkjs](https://github.com/iden3/snarkjs) (javascript)
- [websnark](https://github.com/iden3/websnark) (wasm)
- [go-snark](https://github.com/arnaucube/go-snark) (golang) <span style="font-size:80%;">[do not use in production]<span>
## Circuit languages
| language | snark library with which plugs in |
|-----|-----|
| [Zokrates](https://github.com/Zokrates/ZoKrates) | libsnark, bellman |
| [Snarky](https://github.com/o1-labs/snarky) | libsnark |
| [circom](https://github.com/iden3/circom) | snarkjs, websnark, bellman |
| [go-snark-circuit](https://github.com/arnaucube/go-snark) | go-snark |
---
## Utilities (Elliptic curve & Hash functions) inside the zkSNARK
- we work over $F_r$, where $r=$`21888242871839275222246405745257275088548364400416034343698204186575808495617`
- BabyJubJub
- Mimc
- Poseidon
---
##### *Utilities (Elliptic curve & Hash functions) inside the zkSNARK*
### BabyJubJub
- explaination: https://medium.com/zokrates/efficient-ecc-in-zksnarks-using-zokrates-bd9ae37b8186
- implementations:
- go: https://github.com/iden3/go-iden3-crypto
- javascript & circom: https://github.com/iden3/circomlib
- rust: https://github.com/arnaucube/babyjubjub-rs
- c++: https://github.com/barryWhiteHat/baby_jubjub_ecc
---
##### *Utilities (Elliptic curve & Hash functions) inside the zkSNARK*
### Mimc7
- explaination: https://eprint.iacr.org/2016/492.pdf
- implementations in:
- go: https://github.com/iden3/go-iden3-crypto
- javascript & circom: https://github.com/iden3/circomlib
- rust: https://github.com/arnaucube/mimc-rs
---
##### *Utilities (Elliptic curve & Hash functions) inside the zkSNARK*
### Poseidon
- explaination: https://eprint.iacr.org/2019/458.pdf
- implementations in:
- go: https://github.com/iden3/go-iden3-crypto
- javascript & circom: https://github.com/iden3/circomlib
---
# References
- `Succinct Non-Interactive Zero Knowledge for a von Neumann Architecture`, Eli Ben-Sasson, Alessandro Chiesa, Eran Tromer, Madars Virza https://eprint.iacr.org/2013/879.pdf
- `Pinocchio: Nearly practical verifiable computation`, Bryan Parno, Craig Gentry, Jon Howell, Mariana Raykova https://eprint.iacr.org/2013/279.pdf
- `On the Size of Pairing-based Non-interactive Arguments`, Jens Groth https://eprint.iacr.org/2016/260.pdf
- (also all the links through the slides)
---
<div style="text-align:center;">
Thank you very much
<br>
<img src="imgs/cat00.jpeg" style="width:300px;" />
</div>
<div style="float:right; text-align:right;">
<img style="width:80px" src="imgs/arnaucube.png" /> <br>
[arnaucube.com](https://arnaucube.com)
[github.com/arnaucube](https://github.com/arnaucube)
[twitter.com/arnaucube](https://twitter.com/arnaucube)
<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png" /></a>
2019-08-20
</div>
<img style="width:200px;" src="imgs/iden3.png" /> <br>
[iden3.io](https://iden3.io)
[github.com/iden3](https://github.com/iden3)
[twitter.com/identhree](https://twitter.com/identhree)

BIN
zksnarks-from-scratch-a-technical-explanation.pdf


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