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/*
* Copyright (C) 2012 Michael Brown <mbrown@fensystems.co.uk>.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License as
* published by the Free Software Foundation; either version 2 of the
* License, or any later version.
*
* This program is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
* 02110-1301, USA.
*
* You can also choose to distribute this program under the terms of
* the Unmodified Binary Distribution Licence (as given in the file
* COPYING.UBDL), provided that you have satisfied its requirements.
*/
FILE_LICENCE ( GPL2_OR_LATER_OR_UBDL );
/** @file
*
* Entropy source
*
* This algorithm is designed to comply with ANS X9.82 Part 4 (April
* 2011 Draft) Section 13.3. This standard is unfortunately not
* freely available.
*/
#include <stdint.h>
#include <assert.h>
#include <string.h>
#include <errno.h>
#include <ipxe/crypto.h>
#include <ipxe/hash_df.h>
#include <ipxe/entropy.h>
/* Disambiguate the various error causes */
#define EPIPE_REPETITION_COUNT_TEST \
__einfo_error ( EINFO_EPIPE_REPETITION_COUNT_TEST )
#define EINFO_EPIPE_REPETITION_COUNT_TEST \
__einfo_uniqify ( EINFO_EPIPE, 0x01, "Repetition count test failed" )
#define EPIPE_ADAPTIVE_PROPORTION_TEST \
__einfo_error ( EINFO_EPIPE_ADAPTIVE_PROPORTION_TEST )
#define EINFO_EPIPE_ADAPTIVE_PROPORTION_TEST \
__einfo_uniqify ( EINFO_EPIPE, 0x02, "Adaptive proportion test failed" )
/** Current entropy source */
static struct entropy_source *entropy_source;
/**
* Enable entropy gathering
*
* @ret rc Return status code
*/
int entropy_enable ( void ) {
int rc;
/* Enable selected source, if applicable */
if ( entropy_source ) {
/* Enable entropy source */
if ( ( rc = entropy_source->enable() ) != 0 ) {
DBGC ( &entropy_source, "ENTROPY could not enable "
"source %s: %s\n", entropy_source->name,
strerror ( rc ) );
return rc;
}
/* Sanity checks */
assert ( entropy_source->min_entropy_per_sample > 0 );
assert ( entropy_source->repetition_count_cutoff > 0 );
assert ( entropy_source->adaptive_proportion_cutoff > 0 );
assert ( entropy_source->startup_test_count > 0 );
return 0;
}
/* Find the first working source */
rc = -ENOENT;
for_each_table_entry ( entropy_source, ENTROPY_SOURCES ) {
if ( ( rc = entropy_enable() ) == 0 ) {
DBGC ( &entropy_source, "ENTROPY using source %s\n",
entropy_source->name );
break;
}
}
return rc;
}
/**
* Disable entropy gathering
*
*/
void entropy_disable ( void ) {
/* Sanity check */
assert ( entropy_source != NULL );
/* Disable entropy gathering, if applicable */
if ( entropy_source->disable )
entropy_source->disable();
}
/**
* Perform repetition count test
*
* @v sample Noise sample
* @ret rc Return status code
*
* This is the Repetition Count Test defined in ANS X9.82 Part 2
* (October 2011 Draft) Section 8.5.2.1.2.
*/
static int repetition_count_test ( noise_sample_t sample ) {
static noise_sample_t most_recent_sample;
static unsigned int repetition_count = 0;
unsigned int repetition_count_cutoff =
entropy_source->repetition_count_cutoff;
/* A = the most recently seen sample value
* B = the number of times that value A has been seen in a row
* C = the cutoff value above which the repetition test should fail
*/
/* 1. For each new sample processed:
*
* (Note that the test for "repetition_count > 0" ensures that
* the initial value of most_recent_sample is treated as being
* undefined.)
*/
if ( ( sample == most_recent_sample ) && ( repetition_count > 0 ) ) {
/* a) If the new sample = A, then B is incremented by one. */
repetition_count++;
/* i. If B >= C, then an error condition is raised
* due to a failure of the test
*/
if ( repetition_count >= repetition_count_cutoff )
return -EPIPE_REPETITION_COUNT_TEST;
} else {
/* b) Else:
* i. A = new sample
*/
most_recent_sample = sample;
/* ii. B = 1 */
repetition_count = 1;
}
return 0;
}
/**
* Perform adaptive proportion test
*
* @v sample Noise sample
* @ret rc Return status code
*
* This is the Adaptive Proportion Test for the Most Common Value
* defined in ANS X9.82 Part 2 (October 2011 Draft) Section 8.5.2.1.3.
*/
static int adaptive_proportion_test ( noise_sample_t sample ) {
static noise_sample_t current_counted_sample;
static unsigned int sample_count = ADAPTIVE_PROPORTION_WINDOW_SIZE;
static unsigned int repetition_count;
unsigned int adaptive_proportion_cutoff =
entropy_source->adaptive_proportion_cutoff;
/* A = the sample value currently being counted
* B = the number of samples examined in this run of the test so far
* N = the total number of samples that must be observed in
* one run of the test, also known as the "window size" of
* the test
* B = the current number of times that S (sic) has been seen
* in the W (sic) samples examined so far
* C = the cutoff value above which the repetition test should fail
* W = the probability of a false positive: 2^-30
*/
/* 1. The entropy source draws the current sample from the
* noise source.
*
* (Nothing to do; we already have the current sample.)
*/
/* 2. If S = N, then a new run of the test begins: */
if ( sample_count == ADAPTIVE_PROPORTION_WINDOW_SIZE ) {
/* a. A = the current sample */
current_counted_sample = sample;
/* b. S = 0 */
sample_count = 0;
/* c. B = 0 */
repetition_count = 0;
} else {
/* Else: (the test is already running)
* a. S = S + 1
*/
sample_count++;
/* b. If A = the current sample, then: */
if ( sample == current_counted_sample ) {
/* i. B = B + 1 */
repetition_count++;
/* ii. If S (sic) > C then raise an error
* condition, because the test has
* detected a failure
*/
if ( repetition_count > adaptive_proportion_cutoff )
return -EPIPE_ADAPTIVE_PROPORTION_TEST;
}
}
return 0;
}
/**
* Get noise sample
*
* @ret noise Noise sample
* @ret rc Return status code
*
* This is the GetNoise function defined in ANS X9.82 Part 2
* (October 2011 Draft) Section 6.5.2.
*/
int get_noise ( noise_sample_t *noise ) {
/* Sanity check */
assert ( entropy_source != NULL );
return entropy_source->get_noise ( noise );
}
/**
* Get entropy sample
*
* @ret entropy Entropy sample
* @ret rc Return status code
*
* This is the GetEntropy function defined in ANS X9.82 Part 2
* (October 2011 Draft) Section 6.5.1.
*/
static int get_entropy ( entropy_sample_t *entropy ) {
static int rc = 0;
noise_sample_t noise;
/* Sanity check */
assert ( entropy_source != NULL );
/* Any failure is permanent */
if ( rc != 0 )
return rc;
/* Get noise sample */
if ( ( rc = get_noise ( &noise ) ) != 0 )
return rc;
/* Perform Repetition Count Test and Adaptive Proportion Test
* as mandated by ANS X9.82 Part 2 (October 2011 Draft)
* Section 8.5.2.1.1.
*/
if ( ( rc = repetition_count_test ( noise ) ) != 0 )
return rc;
if ( ( rc = adaptive_proportion_test ( noise ) ) != 0 )
return rc;
/* We do not use any optional conditioning component */
*entropy = noise;
return 0;
}
/**
* Create next nonce value
*
* @ret nonce Nonce
*
* This is the MakeNextNonce function defined in ANS X9.82 Part 4
* (April 2011 Draft) Section 13.3.4.2.
*/
static uint32_t make_next_nonce ( void ) {
static uint32_t nonce;
/* The simplest implementation of a nonce uses a large counter */
nonce++;
return nonce;
}
/**
* Obtain entropy input temporary buffer
*
* @v min_entropy Min-entropy required
* @v tmp Temporary buffer
* @v tmp_len Length of temporary buffer
* @ret rc Return status code
*
* This is (part of) the implementation of the Get_entropy_input
* function (using an entropy source as the source of entropy input
* and condensing each entropy source output after each GetEntropy
* call) as defined in ANS X9.82 Part 4 (April 2011 Draft) Section
* 13.3.4.2.
*/
int get_entropy_input_tmp ( min_entropy_t min_entropy, uint8_t *tmp,
size_t tmp_len ) {
static unsigned int startup_tested = 0;
struct {
uint32_t nonce;
entropy_sample_t sample;
} __attribute__ (( packed )) data;;
uint8_t df_buf[tmp_len];
min_entropy_t entropy_total;
unsigned int i;
int rc;
/* Enable entropy gathering */
if ( ( rc = entropy_enable() ) != 0 )
return rc;
/* Perform mandatory startup tests, if not yet performed */
for ( ; startup_tested < entropy_source->startup_test_count ;
startup_tested++ ) {
if ( ( rc = get_entropy ( &data.sample ) ) != 0 )
goto err_get_entropy;
}
/* 3. entropy_total = 0 */
entropy_total = MIN_ENTROPY ( 0 );
/* 4. tmp = a fixed n-bit value, such as 0^n */
memset ( tmp, 0, tmp_len );
/* 5. While ( entropy_total < min_entropy ) */
while ( entropy_total < min_entropy ) {
/* 5.1. ( status, entropy_bitstring, assessed_entropy )
* = GetEntropy()
* 5.2. If status indicates an error, return ( status, Null )
*/
if ( ( rc = get_entropy ( &data.sample ) ) != 0 )
goto err_get_entropy;
/* 5.3. nonce = MakeNextNonce() */
data.nonce = make_next_nonce();
/* 5.4. tmp = tmp XOR
* df ( ( nonce || entropy_bitstring ), n )
*/
hash_df ( &entropy_hash_df_algorithm, &data, sizeof ( data ),
df_buf, sizeof ( df_buf ) );
for ( i = 0 ; i < tmp_len ; i++ )
tmp[i] ^= df_buf[i];
/* 5.5. entropy_total = entropy_total + assessed_entropy */
entropy_total += entropy_source->min_entropy_per_sample;
}
/* Disable entropy gathering */
entropy_disable();
return 0;
err_get_entropy:
entropy_disable();
return rc;
}