random.c

最新版IAR FOR ARM（EWARM）5.11中的代码例子

//*****************************************************************************
//
// random.c - Random number generator utilizing MD4 hash function of
//            environmental noise captured as the seed and a linear congruence
//            generator for the random numbers.
//
// Copyright (c) 2005-2007 Luminary Micro, Inc.  All rights reserved.
// 
// Software License Agreement
// 
// Luminary Micro, Inc. (LMI) is supplying this software for use solely and
// exclusively on LMI's microcontroller products.
// 
// The software is owned by LMI and/or its suppliers, and is protected under
// applicable copyright laws.  All rights are reserved.  You may not combine
// this software with "viral" open-source software in order to form a larger
// program.  Any use in violation of the foregoing restrictions may subject
// the user to criminal sanctions under applicable laws, as well as to civil
// liability for the breach of the terms and conditions of this license.
// 
// THIS SOFTWARE IS PROVIDED "AS IS".  NO WARRANTIES, WHETHER EXPRESS, IMPLIED
// OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, IMPLIED WARRANTIES OF
// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE APPLY TO THIS SOFTWARE.
// LMI SHALL NOT, IN ANY CIRCUMSTANCES, BE LIABLE FOR SPECIAL, INCIDENTAL, OR
// CONSEQUENTIAL DAMAGES, FOR ANY REASON WHATSOEVER.
// 
// This is part of revision 1952 of the Stellaris Peripheral Driver Library.
//
//*****************************************************************************

#include "random.h"

//*****************************************************************************
//
// The pool of entropy that has been collected.
//
//*****************************************************************************
static unsigned long g_pulRandomEntropy[16];

//*****************************************************************************
//
// The index of the next byte to be added to the entropy pool.
//
//*****************************************************************************
static unsigned long g_ulRandomIndex = 0;

//*****************************************************************************
//
// The random number seed, which corresponds to the most recently returned
// random number.  This is set based on the entropy-generated random number
// by RandomSeed().
//
//*****************************************************************************
static unsigned long g_ulRandomSeed = 0;

//*****************************************************************************
//
// Add entropy to the pool.
//
//*****************************************************************************
void
RandomAddEntropy(unsigned long ulEntropy)
{
    //
    // Add this byte to the entropy pool.
    //
    ((unsigned char *)g_pulRandomEntropy)[g_ulRandomIndex] = ulEntropy & 0xff;

    //
    // Increment to the next byte of the entropy pool.
    //
    g_ulRandomIndex = (g_ulRandomIndex + 1) & 63;
}

//*****************************************************************************
//
// Seed the random number generator by running a MD4 hash on the entropy pool.
// Note that the entropy pool may change from beneath us, but for the purposes
// of generating random numbers that is not a concern.  Also, the MD4 hash was
// broken long ago, but since it is being used to generate random numbers
// instead of providing security this is not a concern.
//
//*****************************************************************************
void
RandomSeed(void)
{
    unsigned long ulA, ulB, ulC, ulD, ulTemp, ulIdx;

    //
    // Initialize the digest.
    //
    ulA = 0x67452301;
    ulB = 0xefcdab89;
    ulC = 0x98badcfe;
    ulD = 0x10325476;

    //
    // Perform the first round of operations.
    //
#define F(a, b, c, d, k, s)                                       \
    {                                                             \
        ulTemp = a + (d ^ (b & (c ^ d))) + g_pulRandomEntropy[k]; \
        a = (ulTemp << s) | (ulTemp >> (32 - s));                 \
    }
    for(ulIdx = 0; ulIdx < 16; ulIdx += 4)
    {
        F(ulA, ulB, ulC, ulD, ulIdx + 0, 3);
        F(ulD, ulA, ulB, ulC, ulIdx + 1, 7);
        F(ulC, ulD, ulA, ulB, ulIdx + 2, 11);
        F(ulB, ulC, ulD, ulA, ulIdx + 3, 19);
    }

    //
    // Perform the second round of operations.
    //
#define G(a, b, c, d, k, s)                                                  \
    {                                                                        \
        ulTemp = a + ((b & c) | (b & d) | (c & d)) + g_pulRandomEntropy[k] + \
                 0x5a827999;                                                 \
        a = (ulTemp << s) | (ulTemp >> (32 - s));                            \
    }
    for(ulIdx = 0; ulIdx < 4; ulIdx++)
    {
        G(ulA, ulB, ulC, ulD, ulIdx + 0, 3);
        G(ulD, ulA, ulB, ulC, ulIdx + 4, 5);
        G(ulC, ulD, ulA, ulB, ulIdx + 8, 9);
        G(ulB, ulC, ulD, ulA, ulIdx + 12, 13);
    }

    //
    // Perform the third round of operations.
    //
#define H(a, b, c, d, k, s)                                            \
    {                                                                  \
        ulTemp = a + (b ^ c ^ d) + g_pulRandomEntropy[k] + 0x6ed9eba1; \
        a = (ulTemp << s) | (ulTemp >> (32 - s));                      \
    }
    for(ulIdx = 0; ulIdx < 4; ulIdx += 2)
    {
        H(ulA, ulB, ulC, ulD, ulIdx + 0, 3);
        H(ulD, ulA, ulB, ulC, ulIdx + 8, 9);
        H(ulC, ulD, ulA, ulB, ulIdx + 4, 11);
        H(ulB, ulC, ulD, ulA, ulIdx + 12, 15);

        if(ulIdx == 2)
        {
            ulIdx -= 3;
        }
    }

    //
    // Use the first word of the resulting digest as the random number seed.
    //
    g_ulRandomSeed = ulA + 0x67452301;
}

//*****************************************************************************
//
// Generate a new random number.  The number returned would more accruately be
// described as a pseudo-random number since a linear congruence generator is
// being used.
//
//*****************************************************************************
unsigned long
RandomNumber(void)
{
    //
    // Generate a new pseudo-random number with a linear congruence random
    // number generator.  This new random number becomes the seed for the next
    // random number.
    //
    g_ulRandomSeed = (g_ulRandomSeed * 1664525) + 1013904223;

    //
    // Return the new random number.
    //
    return(g_ulRandomSeed);
}