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rand: implement an unbiased random integer from a range
Refer: https://github.com/apple/swift/pull/39143 for a description of the algorithm. It is optimal in the sense of having: * no divisions * minimal number of blocks of random bits from the generator Reviewed-by: Tom Cosgrove <tom.cosgrove@arm.com> Reviewed-by: Matthias St. Pierre <Matthias.St.Pierre@ncp-e.com> Reviewed-by: Tomas Mraz <tomas@openssl.org> (Merged from https://github.com/openssl/openssl/pull/22499)
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@ -1,7 +1,8 @@
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LIBS=../../libcrypto
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$COMMON=rand_lib.c
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$CRYPTO=randfile.c rand_err.c rand_deprecated.c prov_seed.c rand_pool.c
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$CRYPTO=randfile.c rand_err.c rand_deprecated.c prov_seed.c rand_pool.c \
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rand_uniform.c
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IF[{- !$disabled{'egd'} -}]
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$CRYPTO=$CRYPTO rand_egd.c
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76
crypto/rand/rand_uniform.c
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76
crypto/rand/rand_uniform.c
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/*
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* Copyright 2023 The OpenSSL Project Authors. All Rights Reserved.
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*
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* Licensed under the Apache License 2.0 (the "License"). You may not use
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* this file except in compliance with the License. You can obtain a copy
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* in the file LICENSE in the source distribution or at
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* https://www.openssl.org/source/license.html
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*/
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#include "crypto/rand.h"
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#include "internal/common.h"
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/*
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* Implementation an optimal random integer in a range function.
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* Refer: https://github.com/apple/swift/pull/39143 for a description
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* of the algorithm.
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*/
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uint32_t ossl_rand_uniform_uint32(OSSL_LIB_CTX *ctx, uint32_t upper, int *err)
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{
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uint32_t i, f; /* integer and fractional parts */
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uint32_t f2, rand; /* extra fractional part and random material */
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uint64_t prod; /* temporary holding double width product */
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const int max_followup_iterations = 10;
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int j;
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if (!ossl_assert(upper > 0)) {
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*err = 0;
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return 0;
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}
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if (unlikely(upper == 1))
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return 0;
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/* Get 32 bits of entropy */
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if (RAND_bytes_ex(ctx, (unsigned char *)&rand, sizeof(rand), 0) <= 0) {
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*err = 1;
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return 0;
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}
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prod = (uint64_t)upper * rand;
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i = prod >> 32;
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f = prod & 0xffffffff;
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if (likely(f <= 1 + ~upper)) /* 1+~upper == -upper but compilers whine */
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return i;
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for (j = 0; j < max_followup_iterations; j++) {
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if (RAND_bytes_ex(ctx, (unsigned char *)&rand, sizeof(rand), 0) <= 0) {
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*err = 1;
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return 0;
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}
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prod = (uint64_t)upper * rand;
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f2 = prod >> 32;
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f += f2;
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/* On overflow, add the carry to our result */
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if (f < f2)
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return i + 1;
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/* For not all 1 bits, there is no carry so return the result */
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if (unlikely(f != 0xffffffff))
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return i;
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/* setup for the next word of randomness */
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f = prod & 0xffffffff;
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}
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/*
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* If we get here, we've consumed 32 * max_followup_iterations + 32 bits
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* with no firm decision, this gives a bias with probability < 2^(32*n),
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* likely acceptable.
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*/
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return i;
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}
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uint32_t ossl_rand_range_uint32(OSSL_LIB_CTX *ctx, uint32_t lower, uint32_t upper,
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int *err)
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{
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if (!ossl_assert(lower < upper)) {
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*err = 1;
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return 0;
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}
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return lower + ossl_rand_uniform_uint32(ctx, upper - lower, err);
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}
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@ -140,4 +140,15 @@ EVP_RAND_CTX *ossl_rand_get0_private_noncreating(OSSL_LIB_CTX *ctx);
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# else
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EVP_RAND_CTX *ossl_rand_get0_seed_noncreating(OSSL_LIB_CTX *ctx);
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# endif
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/* Generate a uniformly distributed random integer in the interval [0, upper) */
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uint32_t ossl_rand_uniform_uint32(OSSL_LIB_CTX *ctx, uint32_t upper, int *err);
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/*
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* Generate a uniformly distributed random integer in the interval
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* [lower, upper).
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*/
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uint32_t ossl_rand_range_uint32(OSSL_LIB_CTX *ctx, uint32_t lower, uint32_t upper,
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int *err);
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#endif
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