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from abc import ABC, abstractmethod
from copy import copy
from typing import Mapping, Tuple, Optional, MutableMapping, ClassVar, Set, Type
from public import public
from .context import Action
from .formula import (Formula, AdditionFormula, DoublingFormula, DifferentialAdditionFormula,
ScalingFormula, LadderFormula, NegationFormula)
from .naf import naf, wnaf
from .params import DomainParameters
from .point import Point
@public
class ScalarMultiplicationAction(Action):
"""A scalar multiplication of a point on a curve by a scalar."""
point: Point
scalar: int
def __init__(self, point: Point, scalar: int):
super().__init__()
self.point = point
self.scalar = scalar
def __repr__(self):
return f"{self.__class__.__name__}({self.point}, {self.scalar})"
class ScalarMultiplier(ABC):
"""
A scalar multiplication algorithm.
:param short_circuit: Whether the use of formulas will be guarded by short-circuit on inputs
of the point at infinity.
:param formulas: Formulas this instance will use.
"""
requires: ClassVar[Set[Type[Formula]]]
optionals: ClassVar[Set[Type[Formula]]]
short_circuit: bool
formulas: Mapping[str, Formula]
_params: DomainParameters
_point: Point
_initialized: bool = False
def __init__(self, short_circuit=True, **formulas: Optional[Formula]):
if len(set(formula.coordinate_model for formula in formulas.values() if
formula is not None)) != 1:
raise ValueError
self.short_circuit = short_circuit
self.formulas = {k: v for k, v in formulas.items() if v is not None}
def _add(self, one: Point, other: Point) -> Point:
if "add" not in self.formulas:
raise NotImplementedError
if self.short_circuit:
if one == self._params.curve.neutral:
return copy(other)
if other == self._params.curve.neutral:
return copy(one)
return self.formulas["add"](one, other, **self._params.curve.parameters)[0]
def _dbl(self, point: Point) -> Point:
if "dbl" not in self.formulas:
raise NotImplementedError
if self.short_circuit:
if point == self._params.curve.neutral:
return copy(point)
return self.formulas["dbl"](point, **self._params.curve.parameters)[0]
def _scl(self, point: Point) -> Point:
if "scl" not in self.formulas:
raise NotImplementedError
return self.formulas["scl"](point, **self._params.curve.parameters)[0]
def _ladd(self, start: Point, to_dbl: Point, to_add: Point) -> Tuple[Point, ...]:
if "ladd" not in self.formulas:
raise NotImplementedError
if self.short_circuit:
if to_dbl == self._params.curve.neutral:
return to_dbl, to_add
if to_add == self._params.curve.neutral:
return self._dbl(to_dbl), to_dbl
return self.formulas["ladd"](start, to_dbl, to_add, **self._params.curve.parameters)
def _dadd(self, start: Point, one: Point, other: Point) -> Point:
if "dadd" not in self.formulas:
raise NotImplementedError
if self.short_circuit:
if one == self._params.curve.neutral:
return copy(other)
if other == self._params.curve.neutral:
return copy(one)
return self.formulas["dadd"](start, one, other, **self._params.curve.parameters)[0]
def _neg(self, point: Point) -> Point:
if "neg" not in self.formulas:
raise NotImplementedError
return self.formulas["neg"](point, **self._params.curve.parameters)[0]
def init(self, params: DomainParameters, point: Point):
"""Initialize the scalar multiplier with params and a point."""
coord_model = set(self.formulas.values()).pop().coordinate_model
if params.curve.coordinate_model != coord_model or point.coordinate_model != coord_model:
raise ValueError
self._params = params
self._point = point
self._initialized = True
@abstractmethod
def multiply(self, scalar: int) -> Point:
"""Multiply the point with the scalar."""
...
@public
class LTRMultiplier(ScalarMultiplier):
"""
Classic double and add scalar multiplication algorithm, that scans the scalar left-to-right (msb to lsb)
The `always` parameter determines whether the double and add always method is used.
"""
requires = {AdditionFormula, DoublingFormula}
optionals = {ScalingFormula}
always: bool
complete: bool
def __init__(self, add: AdditionFormula, dbl: DoublingFormula,
scl: ScalingFormula = None, always: bool = False, complete: bool = True,
short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, add=add, dbl=dbl, scl=scl)
self.always = always
self.complete = complete
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
if self.complete:
q = self._point
r = copy(self._params.curve.neutral)
top = self._params.order.bit_length() - 1
else:
q = copy(self._point)
r = copy(self._point)
top = scalar.bit_length() - 2
for i in range(top, -1, -1):
r = self._dbl(r)
if scalar & (1 << i) != 0:
# TODO: This order makes a difference in projective coordinates
r = self._add(r, q)
elif self.always:
self._add(r, q)
if "scl" in self.formulas:
r = self._scl(r)
return r
@public
class RTLMultiplier(ScalarMultiplier):
"""
Classic double and add scalar multiplication algorithm, that scans the scalar right-to-left (lsb to msb)
The `always` parameter determines whether the double and add always method is used.
"""
requires = {AdditionFormula, DoublingFormula}
optionals = {ScalingFormula}
always: bool
def __init__(self, add: AdditionFormula, dbl: DoublingFormula,
scl: ScalingFormula = None, always: bool = False, short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, add=add, dbl=dbl, scl=scl)
self.always = always
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
q = self._point
r = copy(self._params.curve.neutral)
while scalar > 0:
if scalar & 1 != 0:
# TODO: This order makes a difference in projective coordinates
r = self._add(r, q)
elif self.always:
self._add(r, q)
q = self._dbl(q)
scalar >>= 1
if "scl" in self.formulas:
r = self._scl(r)
return r
class CoronMultiplier(ScalarMultiplier):
"""
Coron's double and add resistant against SPA, from:
Resistance against Differential Power Analysis for Elliptic Curve Cryptosystems
https://link.springer.com/content/pdf/10.1007/3-540-48059-5_25.pdf
"""
requires = {AdditionFormula, DoublingFormula}
optionals = {ScalingFormula}
def __init__(self, add: AdditionFormula, dbl: DoublingFormula, scl: ScalingFormula = None,
short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, add=add, dbl=dbl, scl=scl)
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
q = self._point
p0 = copy(q)
for i in range(scalar.bit_length() - 2, -1, -1):
p0 = self._dbl(p0)
p1 = self._add(p0, q)
if scalar & (1 << i) != 0:
p0 = p1
if "scl" in self.formulas:
p0 = self._scl(p0)
return p0
@public
class LadderMultiplier(ScalarMultiplier):
"""
Montgomery ladder multiplier, using a three input, two output ladder formula.
"""
requires = {LadderFormula}
optionals = {DoublingFormula, ScalingFormula}
complete: bool
def __init__(self, ladd: LadderFormula, dbl: DoublingFormula = None, scl: ScalingFormula = None,
complete: bool = True, short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, ladd=ladd, dbl=dbl, scl=scl)
self.complete = complete
if not complete and dbl is None:
raise ValueError
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
q = self._point
if self.complete:
p0 = copy(self._params.curve.neutral)
p1 = self._point
top = self._params.order.bit_length() - 1
else:
p0 = copy(q)
p1 = self._dbl(q)
top = scalar.bit_length() - 2
for i in range(top, -1, -1):
if scalar & (1 << i) == 0:
p0, p1 = self._ladd(q, p0, p1)
else:
p1, p0 = self._ladd(q, p1, p0)
if "scl" in self.formulas:
p0 = self._scl(p0)
return p0
@public
class SimpleLadderMultiplier(ScalarMultiplier):
"""
Montgomery ladder multiplier, using addition and doubling formulas.
"""
requires = {AdditionFormula, DoublingFormula}
optionals = {ScalingFormula}
complete: bool
def __init__(self, add: AdditionFormula, dbl: DoublingFormula, scl: ScalingFormula = None,
complete: bool = True, short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, add=add, dbl=dbl, scl=scl)
self.complete = complete
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
if self.complete:
top = self._params.order.bit_length() - 1
else:
top = scalar.bit_length() - 1
p0 = copy(self._params.curve.neutral)
p1 = copy(self._point)
for i in range(top, -1, -1):
if scalar & (1 << i) == 0:
p1 = self._add(p0, p1)
p0 = self._dbl(p0)
else:
p0 = self._add(p0, p1)
p1 = self._dbl(p1)
if "scl" in self.formulas:
p0 = self._scl(p0)
return p0
@public
class DifferentialLadderMultiplier(ScalarMultiplier):
"""
Montgomery ladder multiplier, using differential addition and doubling formulas.
"""
requires = {DifferentialAdditionFormula, DoublingFormula}
optionals = {ScalingFormula}
complete: bool
def __init__(self, dadd: DifferentialAdditionFormula, dbl: DoublingFormula,
scl: ScalingFormula = None, complete: bool = True, short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, dadd=dadd, dbl=dbl, scl=scl)
self.complete = complete
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
if self.complete:
top = self._params.order.bit_length() - 1
else:
top = scalar.bit_length() - 1
q = self._point
p0 = copy(self._params.curve.neutral)
p1 = copy(q)
for i in range(top, -1, -1):
if scalar & (1 << i) == 0:
p1 = self._dadd(q, p0, p1)
p0 = self._dbl(p0)
else:
p0 = self._dadd(q, p0, p1)
p1 = self._dbl(p1)
if "scl" in self.formulas:
p0 = self._scl(p0)
return p0
@public
class BinaryNAFMultiplier(ScalarMultiplier):
"""
Binary NAF (Non Adjacent Form) multiplier, left-to-right.
"""
requires = {AdditionFormula, DoublingFormula, NegationFormula}
optionals = {ScalingFormula}
_point_neg: Point
def __init__(self, add: AdditionFormula, dbl: DoublingFormula,
neg: NegationFormula, scl: ScalingFormula = None, short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, add=add, dbl=dbl, neg=neg, scl=scl)
def init(self, params: DomainParameters, point: Point):
super().init(params, point)
self._point_neg = self._neg(point)
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
bnaf = naf(scalar)
q = copy(self._params.curve.neutral)
for val in bnaf:
q = self._dbl(q)
if val == 1:
q = self._add(q, self._point)
if val == -1:
q = self._add(q, self._point_neg)
if "scl" in self.formulas:
q = self._scl(q)
return q
@public
class WindowNAFMultiplier(ScalarMultiplier):
"""
Window NAF (Non Adjacent Form) multiplier, left-to-right.
"""
requires = {AdditionFormula, DoublingFormula, NegationFormula}
optionals = {ScalingFormula}
_points: MutableMapping[int, Point]
_points_neg: MutableMapping[int, Point]
precompute_negation: bool = False
width: int
def __init__(self, add: AdditionFormula, dbl: DoublingFormula,
neg: NegationFormula, width: int, scl: ScalingFormula = None,
precompute_negation: bool = False, short_circuit: bool = True):
super().__init__(short_circuit=short_circuit, add=add, dbl=dbl, neg=neg, scl=scl)
self.width = width
self.precompute_negation = precompute_negation
def init(self, params: DomainParameters, point: Point):
super().init(params, point)
self._points = {}
self._points_neg = {}
current_point = point
double_point = self._dbl(point)
for i in range(0, 2**(self.width - 2)):
self._points[2*i + 1] = current_point
if self.precompute_negation:
self._points_neg[2*i + 1] = self._neg(current_point)
current_point = self._add(current_point, double_point)
def multiply(self, scalar: int) -> Point:
if not self._initialized:
raise ValueError("ScalaMultiplier not initialized.")
with ScalarMultiplicationAction(self._point, scalar):
if scalar == 0:
return copy(self._params.curve.neutral)
naf = wnaf(scalar, self.width)
q = copy(self._params.curve.neutral)
for val in naf:
q = self._dbl(q)
if val > 0:
q = self._add(q, self._points[val])
elif val < 0:
if self.precompute_negation:
neg = self._points_neg[-val]
else:
neg = self._neg(self._points[-val])
q = self._add(q, neg)
if "scl" in self.formulas:
q = self._scl(q)
return q
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