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Discrete log #130
Discrete log #130
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Original file line number | Diff line number | Diff line change |
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-- | | ||
-- Module: Math.NumberTheory.Moduli.DiscreteLogarithm | ||
-- Copyright: (c) 2018 Bhavik Mehta | ||
-- License: MIT | ||
-- Maintainer: Andrew Lelechenko <[email protected]> | ||
-- Stability: Provisional | ||
-- Portability: Non-portable | ||
-- | ||
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{-# LANGUAGE ViewPatterns #-} | ||
{-# LANGUAGE BangPatterns #-} | ||
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module Math.NumberTheory.Moduli.DiscreteLogarithm where | ||
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import qualified Data.IntMap.Strict as M | ||
import Data.Maybe (maybeToList) | ||
import Numeric.Natural (Natural) | ||
import GHC.Integer.GMP.Internals (recipModInteger, powModInteger) | ||
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import Math.NumberTheory.Moduli.Chinese (chineseRemainder2) | ||
import Math.NumberTheory.Moduli.Class (KnownNat, MultMod(..), Mod, getVal) | ||
import Math.NumberTheory.Moduli.Equations (solveLinear') | ||
import Math.NumberTheory.Moduli.PrimitiveRoot (PrimitiveRoot(..), CyclicGroup(..)) | ||
import Math.NumberTheory.Powers.Squares (integerSquareRoot) | ||
import Math.NumberTheory.UniqueFactorisation (unPrime) | ||
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-- | Computes the discrete logarithm. Currently uses the baby-step giant-step method with Bach reduction. | ||
discreteLogarithm :: KnownNat m => PrimitiveRoot m -> MultMod m -> Natural | ||
discreteLogarithm a b = discreteLogarithm' (getGroup a) (multElement $ unPrimitiveRoot a) (multElement b) | ||
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discreteLogarithm' | ||
:: KnownNat m | ||
=> CyclicGroup Natural -- ^ group structure (must be the multiplicative group mod m) | ||
-> Mod m -- ^ a | ||
-> Mod m -- ^ b | ||
-> Natural -- ^ result | ||
discreteLogarithm' cg a b = | ||
case cg of | ||
CG2 -> 0 | ||
-- the only valid input was a=1, b=1 | ||
CG4 -> if b == 1 then 0 else 1 | ||
-- the only possible input here is a=3 with b = 1 or 3 | ||
CGOddPrimePower (unPrime -> p) k -> discreteLogarithmPP p k (getVal a) (getVal b) | ||
CGDoubleOddPrimePower (unPrime -> p) k -> discreteLogarithmPP p k (getVal a `rem` p^k) (getVal b `rem` p^k) | ||
-- we have the isomorphism t -> t `rem` p^k from (Z/2p^kZ)* -> (Z/p^kZ)* | ||
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-- Implementation of Bach reduction (https://www2.eecs.berkeley.edu/Pubs/TechRpts/1984/CSD-84-186.pdf) | ||
{-# INLINE discreteLogarithmPP #-} | ||
discreteLogarithmPP :: Integer -> Word -> Integer -> Integer -> Natural | ||
discreteLogarithmPP p 1 a b = discreteLogarithmPrime p a b | ||
discreteLogarithmPP p k a b = fromInteger result | ||
where | ||
baseSol = toInteger $ discreteLogarithmPrime p (a `rem` p) (b `rem` p) | ||
thetaA = theta p pkMinusOne a | ||
thetaB = theta p pkMinusOne b | ||
pkMinusOne = p^(k-1) | ||
c = (recipModInteger thetaA pkMinusOne * thetaB) `rem` pkMinusOne | ||
result = chineseRemainder2 (baseSol, p-1) (c, pkMinusOne) | ||
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-- compute the homomorphism theta given in https://math.stackexchange.com/a/1864495/418148 | ||
{-# INLINE theta #-} | ||
theta :: Integer -> Integer -> Integer -> Integer | ||
theta p pkMinusOne a = (numerator `quot` pk) `rem` pkMinusOne | ||
where | ||
pk = pkMinusOne * p | ||
p2kMinusOne = pkMinusOne * pk | ||
numerator = (powModInteger a (pk - pkMinusOne) p2kMinusOne - 1) `rem` p2kMinusOne | ||
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discreteLogarithmPrime :: Integer -> Integer -> Integer -> Natural | ||
discreteLogarithmPrime p a b | ||
| p < 100000000 = fromIntegral $ discreteLogarithmPrimeBSGS (fromInteger p) (fromInteger a) (fromInteger b) | ||
| otherwise = discreteLogarithmPrimePollard p a b | ||
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discreteLogarithmPrimeBSGS :: Int -> Int -> Int -> Int | ||
discreteLogarithmPrimeBSGS p a b = head [i*m + j | (v,i) <- zip giants [0..m-1], j <- maybeToList (M.lookup v table)] | ||
where | ||
m = integerSquareRoot (p - 2) + 1 -- simple way of ceiling (sqrt (p-1)) | ||
babies = iterate (.* a) 1 | ||
table = M.fromList (zip babies [0..m-1]) | ||
aInv = recipModInteger (toInteger a) (toInteger p) | ||
bigGiant = fromInteger $ powModInteger aInv (toInteger m) (toInteger p) | ||
giants = iterate (.* bigGiant) b | ||
x .* y = x * y `rem` p | ||
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discreteLogarithmPrimePollard :: Integer -> Integer -> Integer -> Natural | ||
discreteLogarithmPrimePollard p a b = | ||
case concatMap runPollard [(x,y) | x <- [0..n], y <- [0..n]] of | ||
(t:_) -> fromInteger t | ||
[] -> error ("discreteLogarithm: pollard's rho failed, please report this as a bug. inputs " ++ show [p,a,b]) | ||
where | ||
n = p-1 -- order of the cyclic group | ||
halfN = n `quot` 2 | ||
mul2 m = if m < halfN then m * 2 else m * 2 - n | ||
sqrtN = integerSquareRoot n | ||
step (xi,!ai,!bi) = case xi `rem` 3 of | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Each
case fromInteger xi .&. (7 :: Word) of
0 -> (xi*xi `rem` p, mul2 ai, mul2 bi)
1 -> (xi*xi `rem` p, mul2 ai, mul2 bi)
2 -> ( a*xi `rem` p, ai+1, bi)
3 -> ( a*xi `rem` p, ai+1, bi)
4 -> ( a*xi `rem` p, ai+1, bi)
_ -> ( b*xi `rem` p, ai, bi+1) There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I like this idea! I recall reading that the expected time taken for Pollard can be improved to the expected random bound by using more partitions - I'm sure I read that tighter bounds were achieved with 20 but I can't seem to find that result now. With that in mind, it may be interesting to do something like In either case, would it be acceptable to take optimisation work like this into a different PR, and merge (something like) this one for now? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Something like f_T and f_C from (Speeding up pollard's rho method for discrete logarithms, Teske 1998), also described in 2.2.2 and 2.2.3 here, in which experimental performance bounds are described. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
Sure. Could you please add a |
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0 -> (xi*xi `rem` p, mul2 ai, mul2 bi) | ||
1 -> ( a*xi `rem` p, ai+1, bi) | ||
_ -> ( b*xi `rem` p, ai, bi+1) | ||
initialise (x,y) = (powModInteger a x n * powModInteger b y n `rem` n, x, y) | ||
begin t = go (step t) (step (step t)) | ||
check t = powModInteger a t p == b | ||
go tort@(xi,ai,bi) hare@(x2i,a2i,b2i) | ||
| xi == x2i, gcd (bi - b2i) n < sqrtN = solveLinear' n (bi - b2i) (ai - a2i) | ||
| xi == x2i = [] | ||
| otherwise = go (step tort) (step (step hare)) | ||
runPollard = filter check . begin . initialise |
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module Math.NumberTheory.Moduli.Equations | ||
( solveLinear | ||
, solveLinear' | ||
, solveQuadratic | ||
) where | ||
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I've been never good with names :)
Maybe
MultGroupMod
?