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// -*- mode: rust; -*- // // This file is part of curve25519-dalek. // Copyright (c) 2016-2018 Isis Lovecruft, Henry de Valence // See LICENSE for licensing information. // // Authors: // - Isis Agora Lovecruft <isis@patternsinthevoid.net> // - Henry de Valence <hdevalence@hdevalence.ca> //! Module for common traits. #![allow(non_snake_case)] use core::borrow::Borrow; use subtle; use scalar::Scalar; // ------------------------------------------------------------------------ // Public Traits // ------------------------------------------------------------------------ /// Trait for getting the identity element of a point type. pub trait Identity { /// Returns the identity element of the curve. /// Can be used as a constructor. fn identity() -> Self; } /// Trait for testing if a curve point is equivalent to the identity point. pub trait IsIdentity { /// Return true if this element is the identity element of the curve. fn is_identity(&self) -> bool; } /// Implement generic identity equality testing for a point representations /// which have constant-time equality testing and a defined identity /// constructor. impl<T> IsIdentity for T where T: subtle::ConstantTimeEq + Identity, { fn is_identity(&self) -> bool { self.ct_eq(&T::identity()).unwrap_u8() == 1u8 } } /// A trait for constant-time multiscalar multiplication without precomputation. pub trait MultiscalarMul { /// The type of point being multiplied, e.g., `RistrettoPoint`. type Point; /// Given an iterator of (possibly secret) scalars and an iterator of /// public points, compute /// $$ /// Q = c\_1 P\_1 + \cdots + c\_n P\_n. /// $$ /// /// It is an error to call this function with two iterators of different lengths. /// /// # Examples /// /// The trait bound aims for maximum flexibility: the inputs must be /// convertable to iterators (`I: IntoIter`), and the iterator's items /// must be `Borrow<Scalar>` (or `Borrow<Point>`), to allow /// iterators returning either `Scalar`s or `&Scalar`s. /// /// ``` /// use curve25519_dalek::constants; /// use curve25519_dalek::traits::MultiscalarMul; /// use curve25519_dalek::ristretto::RistrettoPoint; /// use curve25519_dalek::scalar::Scalar; /// /// // Some scalars /// let a = Scalar::from(87329482u64); /// let b = Scalar::from(37264829u64); /// let c = Scalar::from(98098098u64); /// /// // Some points /// let P = constants::RISTRETTO_BASEPOINT_POINT; /// let Q = P + P; /// let R = P + Q; /// /// // A1 = a*P + b*Q + c*R /// let abc = [a,b,c]; /// let A1 = RistrettoPoint::multiscalar_mul(&abc, &[P,Q,R]); /// // Note: (&abc).into_iter(): Iterator<Item=&Scalar> /// /// // A2 = (-a)*P + (-b)*Q + (-c)*R /// let minus_abc = abc.iter().map(|x| -x); /// let A2 = RistrettoPoint::multiscalar_mul(minus_abc, &[P,Q,R]); /// // Note: minus_abc.into_iter(): Iterator<Item=Scalar> /// /// assert_eq!(A1.compress(), (-A2).compress()); /// ``` fn multiscalar_mul<I, J>(scalars: I, points: J) -> Self::Point where I: IntoIterator, I::Item: Borrow<Scalar>, J: IntoIterator, J::Item: Borrow<Self::Point>; } /// A trait for variable-time multiscalar multiplication without precomputation. pub trait VartimeMultiscalarMul { /// The type of point being multiplied, e.g., `RistrettoPoint`. type Point; /// Given an iterator of public scalars and an iterator of /// `Option`s of points, compute either `Some(Q)`, where /// $$ /// Q = c\_1 P\_1 + \cdots + c\_n P\_n, /// $$ /// if all points were `Some(P_i)`, or else return `None`. /// /// This function is particularly useful when verifying statements /// involving compressed points. Accepting `Option<Point>` allows /// inlining point decompression into the multiscalar call, /// avoiding the need for temporary buffers. /// ``` /// use curve25519_dalek::constants; /// use curve25519_dalek::traits::VartimeMultiscalarMul; /// use curve25519_dalek::ristretto::RistrettoPoint; /// use curve25519_dalek::scalar::Scalar; /// /// // Some scalars /// let a = Scalar::from(87329482u64); /// let b = Scalar::from(37264829u64); /// let c = Scalar::from(98098098u64); /// let abc = [a,b,c]; /// /// // Some points /// let P = constants::RISTRETTO_BASEPOINT_POINT; /// let Q = P + P; /// let R = P + Q; /// let PQR = [P, Q, R]; /// /// let compressed = [P.compress(), Q.compress(), R.compress()]; /// /// // Now we can compute A1 = a*P + b*Q + c*R using P, Q, R: /// let A1 = RistrettoPoint::vartime_multiscalar_mul(&abc, &PQR); /// /// // Or using the compressed points: /// let A2 = RistrettoPoint::optional_multiscalar_mul( /// &abc, /// compressed.iter().map(|pt| pt.decompress()), /// ); /// /// assert_eq!(A2, Some(A1)); /// /// // It's also possible to mix compressed and uncompressed points: /// let A3 = RistrettoPoint::optional_multiscalar_mul( /// abc.iter() /// .chain(abc.iter()), /// compressed.iter().map(|pt| pt.decompress()) /// .chain(PQR.iter().map(|&pt| Some(pt))), /// ); /// /// assert_eq!(A3, Some(A1+A1)); /// ``` fn optional_multiscalar_mul<I, J>(scalars: I, points: J) -> Option<Self::Point> where I: IntoIterator, I::Item: Borrow<Scalar>, J: IntoIterator<Item = Option<Self::Point>>; /// Given an iterator of public scalars and an iterator of /// public points, compute /// $$ /// Q = c\_1 P\_1 + \cdots + c\_n P\_n, /// $$ /// using variable-time operations. /// /// It is an error to call this function with two iterators of different lengths. /// /// # Examples /// /// The trait bound aims for maximum flexibility: the inputs must be /// convertable to iterators (`I: IntoIter`), and the iterator's items /// must be `Borrow<Scalar>` (or `Borrow<Point>`), to allow /// iterators returning either `Scalar`s or `&Scalar`s. /// /// ``` /// use curve25519_dalek::constants; /// use curve25519_dalek::traits::VartimeMultiscalarMul; /// use curve25519_dalek::ristretto::RistrettoPoint; /// use curve25519_dalek::scalar::Scalar; /// /// // Some scalars /// let a = Scalar::from(87329482u64); /// let b = Scalar::from(37264829u64); /// let c = Scalar::from(98098098u64); /// /// // Some points /// let P = constants::RISTRETTO_BASEPOINT_POINT; /// let Q = P + P; /// let R = P + Q; /// /// // A1 = a*P + b*Q + c*R /// let abc = [a,b,c]; /// let A1 = RistrettoPoint::vartime_multiscalar_mul(&abc, &[P,Q,R]); /// // Note: (&abc).into_iter(): Iterator<Item=&Scalar> /// /// // A2 = (-a)*P + (-b)*Q + (-c)*R /// let minus_abc = abc.iter().map(|x| -x); /// let A2 = RistrettoPoint::vartime_multiscalar_mul(minus_abc, &[P,Q,R]); /// // Note: minus_abc.into_iter(): Iterator<Item=Scalar> /// /// assert_eq!(A1.compress(), (-A2).compress()); /// ``` fn vartime_multiscalar_mul<I, J>(scalars: I, points: J) -> Self::Point where I: IntoIterator, I::Item: Borrow<Scalar>, J: IntoIterator, J::Item: Borrow<Self::Point>, Self::Point: Clone, { Self::optional_multiscalar_mul( scalars, points.into_iter().map(|P| Some(P.borrow().clone())), ) .unwrap() } } /// A trait for variable-time multiscalar multiplication with precomputation. /// /// A general multiscalar multiplication with precomputation can be written as /// $$ /// Q = a_1 A_1 + \cdots + a_n A_n + b_1 B_1 + \cdots + b_m B_m, /// $$ /// where the \\(B_i\\) are *static* points, for which precomputation /// is possible, and the \\(A_j\\) are *dynamic* points, for which /// precomputation is not possible. /// /// This trait has three methods for performing this computation: /// /// * [`vartime_multiscalar_mul`], which handles the special case /// where \\(n = 0\\) and there are no dynamic points; /// /// * [`vartime_mixed_multiscalar_mul`], which takes the dynamic /// points as already-validated `Point`s and is infallible; /// /// * [`optional_mixed_multiscalar_mul`], which takes the dynamic /// points as `Option<Point>`s and returns an `Option<Point>`, /// allowing decompression to be composed into the input iterators. /// /// All methods require that the lengths of the input iterators be /// known and matching, as if they were `ExactSizeIterator`s. (It /// does not require `ExactSizeIterator` only because that trait is /// broken). pub trait VartimePrecomputedMultiscalarMul: Sized { /// The type of point to be multiplied, e.g., `RistrettoPoint`. type Point: Clone; /// Given the static points \\( B_i \\), perform precomputation /// and return the precomputation data. fn new<I>(static_points: I) -> Self where I: IntoIterator, I::Item: Borrow<Self::Point>; /// Given `static_scalars`, an iterator of public scalars /// \\(b_i\\), compute /// $$ /// Q = b_1 B_1 + \cdots + b_m B_m, /// $$ /// where the \\(B_j\\) are the points that were supplied to `new`. /// /// It is an error to call this function with iterators of /// inconsistent lengths. /// /// The trait bound aims for maximum flexibility: the input must /// be convertable to iterators (`I: IntoIter`), and the /// iterator's items must be `Borrow<Scalar>`, to allow iterators /// returning either `Scalar`s or `&Scalar`s. fn vartime_multiscalar_mul<I>(&self, static_scalars: I) -> Self::Point where I: IntoIterator, I::Item: Borrow<Scalar>, { use core::iter; Self::vartime_mixed_multiscalar_mul( self, static_scalars, iter::empty::<Scalar>(), iter::empty::<Self::Point>(), ) } /// Given `static_scalars`, an iterator of public scalars /// \\(b_i\\), `dynamic_scalars`, an iterator of public scalars /// \\(a_i\\), and `dynamic_points`, an iterator of points /// \\(A_i\\), compute /// $$ /// Q = a_1 A_1 + \cdots + a_n A_n + b_1 B_1 + \cdots + b_m B_m, /// $$ /// where the \\(B_j\\) are the points that were supplied to `new`. /// /// It is an error to call this function with iterators of /// inconsistent lengths. /// /// The trait bound aims for maximum flexibility: the inputs must be /// convertable to iterators (`I: IntoIter`), and the iterator's items /// must be `Borrow<Scalar>` (or `Borrow<Point>`), to allow /// iterators returning either `Scalar`s or `&Scalar`s. fn vartime_mixed_multiscalar_mul<I, J, K>( &self, static_scalars: I, dynamic_scalars: J, dynamic_points: K, ) -> Self::Point where I: IntoIterator, I::Item: Borrow<Scalar>, J: IntoIterator, J::Item: Borrow<Scalar>, K: IntoIterator, K::Item: Borrow<Self::Point>, { Self::optional_mixed_multiscalar_mul( self, static_scalars, dynamic_scalars, dynamic_points.into_iter().map(|P| Some(P.borrow().clone())), ) .unwrap() } /// Given `static_scalars`, an iterator of public scalars /// \\(b_i\\), `dynamic_scalars`, an iterator of public scalars /// \\(a_i\\), and `dynamic_points`, an iterator of points /// \\(A_i\\), compute /// $$ /// Q = a_1 A_1 + \cdots + a_n A_n + b_1 B_1 + \cdots + b_m B_m, /// $$ /// where the \\(B_j\\) are the points that were supplied to `new`. /// /// If any of the dynamic points were `None`, return `None`. /// /// It is an error to call this function with iterators of /// inconsistent lengths. /// /// This function is particularly useful when verifying statements /// involving compressed points. Accepting `Option<Point>` allows /// inlining point decompression into the multiscalar call, /// avoiding the need for temporary buffers. fn optional_mixed_multiscalar_mul<I, J, K>( &self, static_scalars: I, dynamic_scalars: J, dynamic_points: K, ) -> Option<Self::Point> where I: IntoIterator, I::Item: Borrow<Scalar>, J: IntoIterator, J::Item: Borrow<Scalar>, K: IntoIterator<Item = Option<Self::Point>>; } // ------------------------------------------------------------------------ // Private Traits // ------------------------------------------------------------------------ /// Trait for checking whether a point is on the curve. /// /// This trait is only for debugging/testing, since it should be /// impossible for a `curve25519-dalek` user to construct an invalid /// point. pub(crate) trait ValidityCheck { /// Checks whether the point is on the curve. Not CT. fn is_valid(&self) -> bool; }