plugeth-utils/restricted/crypto/bn256/cloudflare/optate.go
2021-09-13 15:12:49 -05:00

272 lines
6.4 KiB
Go

package bn256
func lineFunctionAdd(r, p *twistPoint, q *curvePoint, r2 *gfP2) (a, b, c *gfP2, rOut *twistPoint) {
// See the mixed addition algorithm from "Faster Computation of the
// Tate Pairing", http://arxiv.org/pdf/0904.0854v3.pdf
B := (&gfP2{}).Mul(&p.x, &r.t)
D := (&gfP2{}).Add(&p.y, &r.z)
D.Square(D).Sub(D, r2).Sub(D, &r.t).Mul(D, &r.t)
H := (&gfP2{}).Sub(B, &r.x)
I := (&gfP2{}).Square(H)
E := (&gfP2{}).Add(I, I)
E.Add(E, E)
J := (&gfP2{}).Mul(H, E)
L1 := (&gfP2{}).Sub(D, &r.y)
L1.Sub(L1, &r.y)
V := (&gfP2{}).Mul(&r.x, E)
rOut = &twistPoint{}
rOut.x.Square(L1).Sub(&rOut.x, J).Sub(&rOut.x, V).Sub(&rOut.x, V)
rOut.z.Add(&r.z, H).Square(&rOut.z).Sub(&rOut.z, &r.t).Sub(&rOut.z, I)
t := (&gfP2{}).Sub(V, &rOut.x)
t.Mul(t, L1)
t2 := (&gfP2{}).Mul(&r.y, J)
t2.Add(t2, t2)
rOut.y.Sub(t, t2)
rOut.t.Square(&rOut.z)
t.Add(&p.y, &rOut.z).Square(t).Sub(t, r2).Sub(t, &rOut.t)
t2.Mul(L1, &p.x)
t2.Add(t2, t2)
a = (&gfP2{}).Sub(t2, t)
c = (&gfP2{}).MulScalar(&rOut.z, &q.y)
c.Add(c, c)
b = (&gfP2{}).Neg(L1)
b.MulScalar(b, &q.x).Add(b, b)
return
}
func lineFunctionDouble(r *twistPoint, q *curvePoint) (a, b, c *gfP2, rOut *twistPoint) {
// See the doubling algorithm for a=0 from "Faster Computation of the
// Tate Pairing", http://arxiv.org/pdf/0904.0854v3.pdf
A := (&gfP2{}).Square(&r.x)
B := (&gfP2{}).Square(&r.y)
C := (&gfP2{}).Square(B)
D := (&gfP2{}).Add(&r.x, B)
D.Square(D).Sub(D, A).Sub(D, C).Add(D, D)
E := (&gfP2{}).Add(A, A)
E.Add(E, A)
G := (&gfP2{}).Square(E)
rOut = &twistPoint{}
rOut.x.Sub(G, D).Sub(&rOut.x, D)
rOut.z.Add(&r.y, &r.z).Square(&rOut.z).Sub(&rOut.z, B).Sub(&rOut.z, &r.t)
rOut.y.Sub(D, &rOut.x).Mul(&rOut.y, E)
t := (&gfP2{}).Add(C, C)
t.Add(t, t).Add(t, t)
rOut.y.Sub(&rOut.y, t)
rOut.t.Square(&rOut.z)
t.Mul(E, &r.t).Add(t, t)
b = (&gfP2{}).Neg(t)
b.MulScalar(b, &q.x)
a = (&gfP2{}).Add(&r.x, E)
a.Square(a).Sub(a, A).Sub(a, G)
t.Add(B, B).Add(t, t)
a.Sub(a, t)
c = (&gfP2{}).Mul(&rOut.z, &r.t)
c.Add(c, c).MulScalar(c, &q.y)
return
}
func mulLine(ret *gfP12, a, b, c *gfP2) {
a2 := &gfP6{}
a2.y.Set(a)
a2.z.Set(b)
a2.Mul(a2, &ret.x)
t3 := (&gfP6{}).MulScalar(&ret.y, c)
t := (&gfP2{}).Add(b, c)
t2 := &gfP6{}
t2.y.Set(a)
t2.z.Set(t)
ret.x.Add(&ret.x, &ret.y)
ret.y.Set(t3)
ret.x.Mul(&ret.x, t2).Sub(&ret.x, a2).Sub(&ret.x, &ret.y)
a2.MulTau(a2)
ret.y.Add(&ret.y, a2)
}
// sixuPlus2NAF is 6u+2 in non-adjacent form.
var sixuPlus2NAF = []int8{0, 0, 0, 1, 0, 1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0,
0, 1, 1, 0, -1, 0, 0, 1, 0, -1, 0, 0, 0, 0, 1, 1,
1, 0, 0, -1, 0, 0, 1, 0, 0, 0, 0, 0, -1, 0, 0, 1,
1, 0, 0, -1, 0, 0, 0, 1, 1, 0, -1, 0, 0, 1, 0, 1, 1}
// miller implements the Miller loop for calculating the Optimal Ate pairing.
// See algorithm 1 from http://cryptojedi.org/papers/dclxvi-20100714.pdf
func miller(q *twistPoint, p *curvePoint) *gfP12 {
ret := (&gfP12{}).SetOne()
aAffine := &twistPoint{}
aAffine.Set(q)
aAffine.MakeAffine()
bAffine := &curvePoint{}
bAffine.Set(p)
bAffine.MakeAffine()
minusA := &twistPoint{}
minusA.Neg(aAffine)
r := &twistPoint{}
r.Set(aAffine)
r2 := (&gfP2{}).Square(&aAffine.y)
for i := len(sixuPlus2NAF) - 1; i > 0; i-- {
a, b, c, newR := lineFunctionDouble(r, bAffine)
if i != len(sixuPlus2NAF)-1 {
ret.Square(ret)
}
mulLine(ret, a, b, c)
r = newR
switch sixuPlus2NAF[i-1] {
case 1:
a, b, c, newR = lineFunctionAdd(r, aAffine, bAffine, r2)
case -1:
a, b, c, newR = lineFunctionAdd(r, minusA, bAffine, r2)
default:
continue
}
mulLine(ret, a, b, c)
r = newR
}
// In order to calculate Q1 we have to convert q from the sextic twist
// to the full GF(p^12) group, apply the Frobenius there, and convert
// back.
//
// The twist isomorphism is (x', y') -> (xω², yω³). If we consider just
// x for a moment, then after applying the Frobenius, we have x̄ω^(2p)
// where x̄ is the conjugate of x. If we are going to apply the inverse
// isomorphism we need a value with a single coefficient of ω² so we
// rewrite this as x̄ω^(2p-2)ω². ξ⁶ = ω and, due to the construction of
// p, 2p-2 is a multiple of six. Therefore we can rewrite as
// x̄ξ^((p-1)/3)ω² and applying the inverse isomorphism eliminates the
// ω².
//
// A similar argument can be made for the y value.
q1 := &twistPoint{}
q1.x.Conjugate(&aAffine.x).Mul(&q1.x, xiToPMinus1Over3)
q1.y.Conjugate(&aAffine.y).Mul(&q1.y, xiToPMinus1Over2)
q1.z.SetOne()
q1.t.SetOne()
// For Q2 we are applying the p² Frobenius. The two conjugations cancel
// out and we are left only with the factors from the isomorphism. In
// the case of x, we end up with a pure number which is why
// xiToPSquaredMinus1Over3 is ∈ GF(p). With y we get a factor of -1. We
// ignore this to end up with -Q2.
minusQ2 := &twistPoint{}
minusQ2.x.MulScalar(&aAffine.x, xiToPSquaredMinus1Over3)
minusQ2.y.Set(&aAffine.y)
minusQ2.z.SetOne()
minusQ2.t.SetOne()
r2.Square(&q1.y)
a, b, c, newR := lineFunctionAdd(r, q1, bAffine, r2)
mulLine(ret, a, b, c)
r = newR
r2.Square(&minusQ2.y)
a, b, c, newR = lineFunctionAdd(r, minusQ2, bAffine, r2)
mulLine(ret, a, b, c)
r = newR
return ret
}
// finalExponentiation computes the (p¹²-1)/Order-th power of an element of
// GF(p¹²) to obtain an element of GT (steps 13-15 of algorithm 1 from
// http://cryptojedi.org/papers/dclxvi-20100714.pdf)
func finalExponentiation(in *gfP12) *gfP12 {
t1 := &gfP12{}
// This is the p^6-Frobenius
t1.x.Neg(&in.x)
t1.y.Set(&in.y)
inv := &gfP12{}
inv.Invert(in)
t1.Mul(t1, inv)
t2 := (&gfP12{}).FrobeniusP2(t1)
t1.Mul(t1, t2)
fp := (&gfP12{}).Frobenius(t1)
fp2 := (&gfP12{}).FrobeniusP2(t1)
fp3 := (&gfP12{}).Frobenius(fp2)
fu := (&gfP12{}).Exp(t1, u)
fu2 := (&gfP12{}).Exp(fu, u)
fu3 := (&gfP12{}).Exp(fu2, u)
y3 := (&gfP12{}).Frobenius(fu)
fu2p := (&gfP12{}).Frobenius(fu2)
fu3p := (&gfP12{}).Frobenius(fu3)
y2 := (&gfP12{}).FrobeniusP2(fu2)
y0 := &gfP12{}
y0.Mul(fp, fp2).Mul(y0, fp3)
y1 := (&gfP12{}).Conjugate(t1)
y5 := (&gfP12{}).Conjugate(fu2)
y3.Conjugate(y3)
y4 := (&gfP12{}).Mul(fu, fu2p)
y4.Conjugate(y4)
y6 := (&gfP12{}).Mul(fu3, fu3p)
y6.Conjugate(y6)
t0 := (&gfP12{}).Square(y6)
t0.Mul(t0, y4).Mul(t0, y5)
t1.Mul(y3, y5).Mul(t1, t0)
t0.Mul(t0, y2)
t1.Square(t1).Mul(t1, t0).Square(t1)
t0.Mul(t1, y1)
t1.Mul(t1, y0)
t0.Square(t0).Mul(t0, t1)
return t0
}
func optimalAte(a *twistPoint, b *curvePoint) *gfP12 {
e := miller(a, b)
ret := finalExponentiation(e)
if a.IsInfinity() || b.IsInfinity() {
ret.SetOne()
}
return ret
}