arctic/src/shine.rs

use crate::lagrange::*;
use curve25519_dalek::constants as dalek_constants;
use curve25519_dalek::ristretto::RistrettoPoint;
use curve25519_dalek::ristretto::VartimeRistrettoPrecomputation;
use curve25519_dalek::scalar::Scalar;
use curve25519_dalek::traits::Identity;
use curve25519_dalek::traits::VartimePrecomputedMultiscalarMul;
use rand::RngCore;
use sha2::Digest;
use sha2::Sha256;

// Compute (m choose k) when m^k < 2^64
fn binom(m: u32, k: u32) -> u64 {
    let mut numer = 1u64;
    let mut denom = 1u64;
    for i in 0u64..(k as u64) {
        numer *= (m as u64) - i;
        denom *= i + 1;
    }
    numer / denom
}

fn hash1(theta: &[u8; 16], w: &[u8]) -> Scalar {
    let mut hash = Sha256::new();
    hash.update(&theta);
    hash.update(&w);
    let mut hashval = [0u8; 32];
    hashval[0..32].copy_from_slice(&hash.finalize());
    Scalar::from_bytes_mod_order(hashval)
}

// Iterate over subsets of {1, 2, ..., n} of size k
struct SubsetIter {
    n: u32,
    k: u32,
    done: bool,
    nextsubset: Vec<u32>,
}

impl SubsetIter {
    pub fn new(n: u32, k: u32) -> Self {
        assert!(k >= 1);
        assert!(n >= k);
        let nextsubset: Vec<u32> = (1..=k).collect();
        Self {
            n,
            k,
            done: false,
            nextsubset,
        }
    }
}

impl Iterator for SubsetIter {
    type Item = Vec<u32>;

    fn next(&mut self) -> Option<Self::Item> {
        let mut incindex: usize = 0;
        let ku = self.k as usize;
        let res = if self.done {
            None
        } else {
            Some(self.nextsubset.clone())
        };
        while incindex < ku && self.nextsubset[ku - 1 - incindex] == self.n - (incindex as u32) {
            incindex += 1;
        }
        if incindex < ku {
            self.nextsubset[ku - 1 - incindex] += 1;
            for i in 0..incindex {
                self.nextsubset[ku - incindex + i] =
                    self.nextsubset[ku - 1 - incindex] + (i as u32) + 1;
            }
        } else {
            self.done = true;
        }
        res
    }
}

#[test]
pub fn test_subsetiter() {
    let si = SubsetIter::new(7, 4);

    for v in si {
        println!("{:?}", v);
    }
}

// The key for player k will consist of a vector of (v, theta) tuples,
// where the v values enumerate all lists of t-1 player numbers (from
// 1 to n) that do _not_ include k
#[derive(Debug)]
pub struct Key {
    pub n: u32,
    pub t: u32,
    pub k: u32,
    pub secrets: Vec<(Vec<u32>, [u8; 16])>,
}

impl Key {
    pub fn keygen(n: u32, t: u32) -> Vec<Self> {
        let mut rng = rand::thread_rng();
        let mut res: Vec<Self> = Vec::new();
        for k in 1..=n {
            res.push(Self {
                n,
                t,
                k,
                secrets: Vec::new(),
            });
        }
        let si = SubsetIter::new(n, t - 1);

        for v in si {
            // For each subset of size t-1, pick a random secret, and
            // give it to all players _not_ in that subset
            let mut theta: [u8; 16] = [0; 16];
            rng.fill_bytes(&mut theta);
            let mut vnextind = 0usize;
            let mut vnext = v[0];
            for i in 1..=n {
                if i < vnext {
                    res[(i - 1) as usize]
                        .secrets
                        .push((v.clone(), theta.clone()));
                } else {
                    vnextind += 1;
                    vnext = if vnextind < ((t - 1) as usize) {
                        v[vnextind]
                    } else {
                        n + 1
                    };
                }
            }
        }
        res
    }
}

#[test]
pub fn test_keygen() {
    let keys = Key::keygen(7, 4);

    println!("key for player 3: {:?}", keys[2]);
    println!("key for player 7: {:?}", keys[6]);
}

#[derive(Debug)]
pub struct PreprocKey {
    pub n: u32,
    pub t: u32,
    pub k: u32,
    pub secrets: Vec<([u8; 16], Scalar)>,
}

impl PreprocKey {
    pub fn preproc(key: &Key) -> Self {
        Self {
            n: key.n,
            t: key.t,
            k: key.k,
            secrets: key
                .secrets
                .iter()
                .map(|(v, theta)| (theta.clone(), lagrange(&v, 0, key.k)))
                .collect(),
        }
    }

    pub fn rand(n: u32, t: u32) -> Self {
        let delta = binom(n - 1, t - 1);
        let mut secrets: Vec<([u8; 16], Scalar)> = Vec::new();
        let mut rng = rand::thread_rng();
        for _ in 0u64..delta {
            let mut theta = [0u8; 16];
            rng.fill_bytes(&mut theta);
            let lagrange: Scalar = Scalar::random(&mut rng);
            secrets.push((theta, lagrange));
        }
        Self {
            n,
            t,
            k: 1,
            secrets,
        }
    }

    pub fn partialeval(&self, w: &[u8]) -> Scalar {
        self.secrets
            .iter()
            .map(|&(theta, lagrange)| hash1(&theta, &w) * lagrange)
            .sum()
    }

    pub fn delta(&self) -> usize {
        self.secrets.len()
    }
}

pub fn commit(evaluation: &Scalar) -> RistrettoPoint {
    evaluation * &dalek_constants::RISTRETTO_BASEPOINT_TABLE
}

// Combine commitments using precomputed Lagrange polynomials.  Return
// None if the commitments are not consistent with the given t.  You
// must pass at least 2t-1 commitments, and the same number of
// lag_polys.
pub fn combinecomm_polys(
    t: u32,
    lag_polys: &[ScalarPoly],
    commitments: &[RistrettoPoint],
) -> Option<RistrettoPoint> {
    // Check if the commitments are consistent: when interpolating the
    // polys in the exponent, the low t coefficients can be non-0 but
    // the ones above that must be 0

    let mu = commitments.len();
    assert!(t >= 1);
    assert!(mu >= 2 * (t as usize) - 1);
    assert!(mu == lag_polys.len());
    assert!(mu == lag_polys[0].coeffs.len());

    // Use this to compute the multiscalar multiplications
    let multiscalar = VartimeRistrettoPrecomputation::new(Vec::<RistrettoPoint>::new());

    // Compute the B_i for i from t to mu-1.  All of them should be the
    // identity, so if any of them is not, then the commitments are
    // inconsistents, and we will return None
    if ((t as usize)..mu)
        .map(|i| {
            // B_i = \sum_j lag_polys[j].coeffs[i] * commitments[j]
            multiscalar.vartime_mixed_multiscalar_mul(
                &Vec::<Scalar>::new(),
                (0..mu).map(|j| lag_polys[j].coeffs[i]),
                commitments,
            )
        })
        .any(|bi: RistrettoPoint| bi != RistrettoPoint::identity())
    {
        return None;
    }

    // Compute B_0 (which is the combined commitment) and return
    // Some(B_0)
    Some(multiscalar.vartime_mixed_multiscalar_mul(
        &Vec::<Scalar>::new(),
        (0..mu).map(|j| lag_polys[j].coeffs[0]),
        commitments,
    ))
}

// A version of the above that skips the verification.  This can be
// used, for example, if you can check that the output is correct by
// verifying a signature.
pub fn combinecomm_polys_noverify(
    t: u32,
    lag_polys: &[ScalarPoly],
    commitments: &[RistrettoPoint],
) -> RistrettoPoint {
    let mu = commitments.len();
    assert!(t >= 1);
    assert!(mu >= 2 * (t as usize) - 1);
    assert!(mu == lag_polys.len());
    assert!(mu == lag_polys[0].coeffs.len());

    // Use this to compute the multiscalar multiplications
    let multiscalar = VartimeRistrettoPrecomputation::new(Vec::<RistrettoPoint>::new());

    // Compute B_0 (which is the combined commitment) and return it
    multiscalar.vartime_mixed_multiscalar_mul(
        &Vec::<Scalar>::new(),
        (0..mu).map(|j| lag_polys[j].coeffs[0]),
        commitments,
    )
}

// Combine commitments. Return None if the commitments are not
// consistent with the given t.  You must pass at least 2t-1
// commitments, and the same size of coalition.
pub fn combinecomm(
    t: u32,
    coalition: &[u32],
    commitments: &[RistrettoPoint],
) -> Option<RistrettoPoint> {
    let polys = lagrange_polys(coalition);
    combinecomm_polys(t, &polys, commitments)
}

#[test]
pub fn test_preproc() {
    let keys = Key::keygen(7, 4);

    let ppkey3 = PreprocKey::preproc(&keys[2]);
    let ppkey7 = PreprocKey::preproc(&keys[6]);

    println!("preproc key for player 3: {:?}", ppkey3);
    println!("preproc key for player 7: {:?}", ppkey7);
}

#[test]
pub fn test_partialeval() {
    let keys = Key::keygen(7, 3);
    let ppkeys: Vec<PreprocKey> = keys.iter().map(|x| PreprocKey::preproc(x)).collect();
    let mut rng = rand::thread_rng();
    let mut w = [0u8; 32];
    rng.fill_bytes(&mut w);
    let evals: Vec<Scalar> = ppkeys.iter().map(|k| k.partialeval(&w)).collect();

    // Try interpolating different subsets and check that the answer is
    // the same
    let interp1 = interpolate(&vec![1, 2, 3, 4, 5], &evals[0..=4], 0);
    let interp2 = interpolate(&vec![3, 4, 5, 6, 7], &evals[2..=6], 0);
    println!("interp1 = {:?}", interp1);
    println!("interp2 = {:?}", interp2);
    assert!(interp1 == interp2);
}

#[test]
pub fn test_combinecomm() {
    let keys = Key::keygen(7, 3);
    let ppkeys: Vec<PreprocKey> = keys.iter().map(|x| PreprocKey::preproc(x)).collect();
    let mut rng = rand::thread_rng();
    let mut w = [0u8; 32];
    rng.fill_bytes(&mut w);
    let commitments: Vec<RistrettoPoint> =
        ppkeys.iter().map(|k| commit(&k.partialeval(&w))).collect();

    let comm1 = combinecomm(3, &vec![1, 2, 3, 4, 5], &commitments[0..=4]);
    let comm2 = combinecomm(3, &vec![3, 4, 5, 6, 7], &commitments[2..=6]);
    assert_ne!(comm1, None);
    assert_ne!(comm2, None);

    // Test a failure case
    let comm3 = combinecomm(3, &vec![1, 2, 3, 4, 6], &commitments[0..=4]);
    assert_eq!(comm3, None);
}