353 lines
10 KiB
V
353 lines
10 KiB
V
module edwards25519
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// extended_coordinates returns v in extended coordinates (X:Y:Z:T) where
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// x = X/Z, y = Y/Z, and xy = T/Z as in https://eprint.iacr.org/2008/522.
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fn (mut v Point) extended_coordinates() (Element, Element, Element, Element) {
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// This function is outlined to make the allocations inline in the caller
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// rather than happen on the heap. Don't change the style without making
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// sure it doesn't increase the inliner cost.
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mut e := []Element{len: 4}
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x, y, z, t := v.extended_coordinates_generic(mut e)
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return x, y, z, t
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}
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fn (mut v Point) extended_coordinates_generic(mut e []Element) (Element, Element, Element, Element) {
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check_initialized(v)
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x := e[0].set(v.x)
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y := e[1].set(v.y)
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z := e[2].set(v.z)
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t := e[3].set(v.t)
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return x, y, z, t
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}
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// Given k > 0, set s = s**(2*i).
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fn (mut s Scalar) pow2k(k int) {
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for i := 0; i < k; i++ {
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s.multiply(s, s)
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}
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}
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// set_extended_coordinates sets v = (X:Y:Z:T) in extended coordinates where
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// x = X/Z, y = Y/Z, and xy = T/Z as in https://eprint.iacr.org/2008/522.
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//
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// If the coordinates are invalid or don't represent a valid point on the curve,
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// set_extended_coordinates returns an error and the receiver is
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// unchanged. Otherwise, set_extended_coordinates returns v.
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fn (mut v Point) set_extended_coordinates(x Element, y Element, z Element, t Element) ?Point {
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if !is_on_curve(x, y, z, t) {
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return error('edwards25519: invalid point coordinates')
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}
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v.x.set(x)
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v.y.set(y)
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v.z.set(z)
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v.t.set(t)
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return v
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}
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fn is_on_curve(x Element, y Element, z Element, t Element) bool {
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mut lhs := Element{}
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mut rhs := Element{}
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mut xx := Element{}
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xx.square(x)
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mut yy := Element{}
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yy.square(y)
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mut zz := Element{}
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zz.square(z)
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// zz := new(Element).Square(Z)
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mut tt := Element{}
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tt.square(t)
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// tt := new(Element).Square(T)
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// -x² + y² = 1 + dx²y²
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// -(X/Z)² + (Y/Z)² = 1 + d(T/Z)²
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// -X² + Y² = Z² + dT²
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lhs.subtract(yy, xx)
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mut d := d_const
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rhs.multiply(d, tt)
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rhs.add(rhs, zz)
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if lhs.equal(rhs) != 1 {
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return false
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}
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// xy = T/Z
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// XY/Z² = T/Z
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// XY = TZ
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lhs.multiply(x, y)
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rhs.multiply(t, z)
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return lhs.equal(rhs) == 1
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}
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// bytes_montgomery converts v to a point on the birationally-equivalent
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// Curve25519 Montgomery curve, and returns its canonical 32 bytes encoding
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// according to RFC 7748.
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//
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// Note that bytes_montgomery only encodes the u-coordinate, so v and -v encode
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// to the same value. If v is the identity point, bytes_montgomery returns 32
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// zero bytes, analogously to the X25519 function.
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pub fn (mut v Point) bytes_montgomery() []byte {
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// This function is outlined to make the allocations inline in the caller
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// rather than happen on the heap.
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mut buf := [32]byte{}
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return v.bytes_montgomery_generic(mut buf)
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}
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fn (mut v Point) bytes_montgomery_generic(mut buf [32]byte) []byte {
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check_initialized(v)
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// RFC 7748, Section 4.1 provides the bilinear map to calculate the
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// Montgomery u-coordinate
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//
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// u = (1 + y) / (1 - y)
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//
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// where y = Y / Z.
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mut y := Element{}
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mut recip := Element{}
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mut u := Element{}
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y.multiply(v.y, y.invert(v.z)) // y = Y / Z
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recip.invert(recip.subtract(fe_one, &y)) // r = 1/(1 - y)
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u.multiply(u.add(fe_one, y), recip) // u = (1 + y)*r
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return copy_field_element(mut buf, mut u)
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}
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// mult_by_cofactor sets v = 8 * p, and returns v.
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pub fn (mut v Point) mult_by_cofactor(p Point) Point {
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check_initialized(p)
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mut result := ProjectiveP1{}
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mut pp := ProjectiveP2{}
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pp.from_p3(p)
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result.double(pp)
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pp.from_p1(result)
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result.double(pp)
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pp.from_p1(result)
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result.double(pp)
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return v.from_p1(result)
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}
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// invert sets s to the inverse of a nonzero scalar v, and returns s.
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//
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// If t is zero, invert returns zero.
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pub fn (mut s Scalar) invert(t Scalar) Scalar {
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// Uses a hardcoded sliding window of width 4.
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mut table := [8]Scalar{}
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mut tt := Scalar{}
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tt.multiply(t, t)
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table[0] = t
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for i := 0; i < 7; i++ {
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table[i + 1].multiply(table[i], tt)
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}
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// Now table = [t**1, t**3, t**7, t**11, t**13, t**15]
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// so t**k = t[k/2] for odd k
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// To compute the sliding window digits, use the following Sage script:
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// sage: import itertools
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// sage: def sliding_window(w,k):
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// ....: digits = []
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// ....: while k > 0:
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// ....: if k % 2 == 1:
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// ....: kmod = k % (2**w)
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// ....: digits.append(kmod)
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// ....: k = k - kmod
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// ....: else:
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// ....: digits.append(0)
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// ....: k = k // 2
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// ....: return digits
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// Now we can compute s roughly as follows:
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// sage: s = 1
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// sage: for coeff in reversed(sliding_window(4,l-2)):
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// ....: s = s*s
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// ....: if coeff > 0 :
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// ....: s = s*t**coeff
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// This works on one bit at a time, with many runs of zeros.
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// The digits can be collapsed into [(count, coeff)] as follows:
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// sage: [(len(list(group)),d) for d,group in itertools.groupby(sliding_window(4,l-2))]
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// Entries of the form (k, 0) turn into pow2k(k)
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// Entries of the form (1, coeff) turn into a squaring and then a table lookup.
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// We can fold the squaring into the previous pow2k(k) as pow2k(k+1).
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s = table[1 / 2]
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s.pow2k(127 + 1)
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s.multiply(s, table[1 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[9 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[11 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[13 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[15 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[7 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[15 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[5 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[1 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[15 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[15 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[7 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[3 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[11 / 2])
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s.pow2k(5 + 1)
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s.multiply(s, table[11 / 2])
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s.pow2k(9 + 1)
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s.multiply(s, table[9 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[3 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[3 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[3 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[9 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[7 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[3 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[13 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[7 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[9 / 2])
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s.pow2k(3 + 1)
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s.multiply(s, table[15 / 2])
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s.pow2k(4 + 1)
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s.multiply(s, table[11 / 2])
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return s
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}
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// multi_scalar_mult sets v = sum(scalars[i] * points[i]), and returns v.
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//
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// Execution time depends only on the lengths of the two slices, which must match.
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pub fn (mut v Point) multi_scalar_mult(scalars []Scalar, points []Point) Point {
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if scalars.len != points.len {
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panic('edwards25519: called multi_scalar_mult with different size inputs')
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}
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check_initialized(...points)
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mut sc := scalars.clone()
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// Proceed as in the single-base case, but share doublings
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// between each point in the multiscalar equation.
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// Build lookup tables for each point
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mut tables := []ProjLookupTable{len: points.len}
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for i, _ in tables {
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tables[i].from_p3(points[i])
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}
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// Compute signed radix-16 digits for each scalar
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// digits := make([][64]int8, len(scalars))
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mut digits := [][]i8{len: sc.len, init: []i8{len: 64, cap: 64}}
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for j, _ in digits {
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digits[j] = sc[j].signed_radix16()
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}
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// Unwrap first loop iteration to save computing 16*identity
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mut multiple := ProjectiveCached{}
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mut tmp1 := ProjectiveP1{}
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mut tmp2 := ProjectiveP2{}
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// Lookup-and-add the appropriate multiple of each input point
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for k, _ in tables {
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tables[k].select_into(mut multiple, digits[k][63])
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tmp1.add(v, multiple) // tmp1 = v + x_(j,63)*Q in P1xP1 coords
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v.from_p1(tmp1) // update v
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}
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tmp2.from_p3(v) // set up tmp2 = v in P2 coords for next iteration
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for r := 62; r >= 0; r-- {
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tmp1.double(tmp2) // tmp1 = 2*(prev) in P1xP1 coords
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tmp2.from_p1(tmp1) // tmp2 = 2*(prev) in P2 coords
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tmp1.double(tmp2) // tmp1 = 4*(prev) in P1xP1 coords
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tmp2.from_p1(tmp1) // tmp2 = 4*(prev) in P2 coords
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tmp1.double(tmp2) // tmp1 = 8*(prev) in P1xP1 coords
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tmp2.from_p1(tmp1) // tmp2 = 8*(prev) in P2 coords
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tmp1.double(tmp2) // tmp1 = 16*(prev) in P1xP1 coords
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v.from_p1(tmp1) // v = 16*(prev) in P3 coords
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// Lookup-and-add the appropriate multiple of each input point
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for s, _ in tables {
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tables[s].select_into(mut multiple, digits[s][r])
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tmp1.add(v, multiple) // tmp1 = v + x_(j,i)*Q in P1xP1 coords
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v.from_p1(tmp1) // update v
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}
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tmp2.from_p3(v) // set up tmp2 = v in P2 coords for next iteration
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}
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return v
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}
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// vartime_multiscalar_mult sets v = sum(scalars[i] * points[i]), and returns v.
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//
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// Execution time depends on the inputs.
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pub fn (mut v Point) vartime_multiscalar_mult(scalars []Scalar, points []Point) Point {
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if scalars.len != points.len {
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panic('edwards25519: called VarTimeMultiScalarMult with different size inputs')
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}
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check_initialized(...points)
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// Generalize double-base NAF computation to arbitrary sizes.
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// Here all the points are dynamic, so we only use the smaller
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// tables.
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// Build lookup tables for each point
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mut tables := []NafLookupTable5{len: points.len}
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for i, _ in tables {
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tables[i].from_p3(points[i])
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}
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mut sc := scalars.clone()
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// Compute a NAF for each scalar
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// mut nafs := make([][256]int8, len(scalars))
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mut nafs := [][]i8{len: sc.len, init: []i8{len: 256, cap: 256}}
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for j, _ in nafs {
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nafs[j] = sc[j].non_adjacent_form(5)
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}
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mut multiple := ProjectiveCached{}
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mut tmp1 := ProjectiveP1{}
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mut tmp2 := ProjectiveP2{}
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tmp2.zero()
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// Move from high to low bits, doubling the accumulator
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// at each iteration and checking whether there is a nonzero
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// coefficient to look up a multiple of.
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//
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// Skip trying to find the first nonzero coefficent, because
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// searching might be more work than a few extra doublings.
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// k == i, l == j
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for k := 255; k >= 0; k-- {
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tmp1.double(tmp2)
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for l, _ in nafs {
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if nafs[l][k] > 0 {
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v.from_p1(tmp1)
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tables[l].select_into(mut multiple, nafs[l][k])
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tmp1.add(v, multiple)
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} else if nafs[l][k] < 0 {
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v.from_p1(tmp1)
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tables[l].select_into(mut multiple, -nafs[l][k])
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tmp1.sub(v, multiple)
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}
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}
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tmp2.from_p1(tmp1)
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}
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v.from_p2(tmp2)
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return v
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}
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