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security/nss/lib/freebl/mpi/doc/redux.txt
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security/nss/lib/freebl/mpi/doc/redux.txt
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Modular Reduction
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Usually, modular reduction is accomplished by long division, using the
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mp_div() or mp_mod() functions. However, when performing modular
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exponentiation, you spend a lot of time reducing by the same modulus
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again and again. For this purpose, doing a full division for each
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multiplication is quite inefficient.
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For this reason, the mp_exptmod() function does not perform modular
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reductions in the usual way, but instead takes advantage of an
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algorithm due to Barrett, as described by Menezes, Oorschot and
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VanStone in their book _Handbook of Applied Cryptography_, published
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by the CRC Press (see Chapter 14 for details). This method reduces
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most of the computation of reduction to efficient shifting and masking
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operations, and avoids the multiple-precision division entirely.
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Here is a brief synopsis of Barrett reduction, as it is implemented in
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this library.
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Let b denote the radix of the computation (one more than the maximum
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value that can be denoted by an mp_digit). Let m be the modulus, and
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let k be the number of significant digits of m. Let x be the value to
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be reduced modulo m. By the Division Theorem, there exist unique
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integers Q and R such that:
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x = Qm + R, 0 <= R < m
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Barrett reduction takes advantage of the fact that you can easily
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approximate Q to within two, given a value M such that:
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2k
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b
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M = floor( ----- )
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m
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Computation of M requires a full-precision division step, so if you
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are only doing a single reduction by m, you gain no advantage.
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However, when multiple reductions by the same m are required, this
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division need only be done once, beforehand. Using this, we can use
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the following equation to compute Q', an approximation of Q:
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x
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floor( ------ ) M
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k-1
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b
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Q' = floor( ----------------- )
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k+1
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b
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The divisions by b^(k-1) and b^(k+1) and the floor() functions can be
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efficiently implemented with shifts and masks, leaving only a single
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multiplication to be performed to get this approximation. It can be
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shown that Q - 2 <= Q' <= Q, so in the worst case, we can get out with
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two additional subtractions to bring the value into line with the
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actual value of Q.
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Once we've got Q', we basically multiply that by m and subtract from
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x, yielding:
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x - Q'm = Qm + R - Q'm
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Since we know the constraint on Q', this is one of:
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R
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m + R
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2m + R
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Since R < m by the Division Theorem, we can simply subtract off m
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until we get a value in the correct range, which will happen with no
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more than 2 subtractions:
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v = x - Q'm
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while(v >= m)
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v = v - m
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endwhile
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In random performance trials, modular exponentiation using this method
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of reduction gave around a 40% speedup over using the division for
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reduction.
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------------------------------------------------------------------
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This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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