文件列表:

LICENSE (1303, 2015-03-26)
doc (0, 2015-03-26)
doc\Cryptech_TRNG_Introduction.md (6723, 2015-03-26)
doc\trng_illustrations.graffle (2813, 2015-03-26)
src (0, 2015-03-26)
src\model (0, 2015-03-26)
src\model\python (0, 2015-03-26)
src\model\python\trng.py (3716, 2015-03-26)
src\model\python\xchacha.py (14934, 2015-03-26)
src\rtl (0, 2015-03-26)
src\rtl\trng.v (19606, 2015-03-26)
src\rtl\trng_csprng.v (20346, 2015-03-26)
src\rtl\trng_csprng_fifo.v (14640, 2015-03-26)
src\rtl\trng_debug_ctrl.v (6103, 2015-03-26)
src\rtl\trng_mixer.v (33515, 2015-03-26)
src\rtl\wrappers (0, 2015-03-26)
src\rtl\wrappers\trng_avalanche_entropy.v (4298, 2015-03-26)
src\sw (0, 2015-03-26)
src\sw\trng_extract.py (12264, 2015-03-26)
src\tb (0, 2015-03-26)
src\tb\fake_modules (0, 2015-03-26)
src\tb\fake_modules\avalanche_entropy.v (3505, 2015-03-26)
src\tb\fake_modules\pseudo_entropy.v (2965, 2015-03-26)
src\tb\fake_modules\rosc_entropy.v (3354, 2015-03-26)
src\tb\tb_csprng.v (11343, 2015-03-26)
src\tb\tb_csprng_fifo.v (11097, 2015-03-26)
src\tb\tb_mixer.v (11037, 2015-03-26)
src\tb\tb_trng.v (11387, 2015-03-26)
toolruns (0, 2015-03-26)
toolruns\Makefile (3543, 2015-03-26)

trng ==== True Random Number Generator core implemented in Verilog. ## Introduction ## This repo contains the design of a True Random Number Generator (TRNG) for the [Cryptech OpenHSM](http://cryptech.is/) project. ## Design inspiration, ideas and principles ## The TRNG **MUST** be a really good one. Furthermore it must be trustable by its users. That means it should not do wild and crazy stuff. And users should be able to verify that the TRNG works as expected. * Follow best practice * Be conservative - No big untested ideas. * Support transparency - The parts should be testable. Some of our inspiration comes from: * The Yarrow implementation in FreeBSD * The Fortuna RNG by Ferguson and Schneier as described in Cryptography Engineering. * /dev/random in OpenBSD ## System description ## The TRNG consists of a chain with three main subsystems * Entropy generation * Entropy accumulation * Random generation ### Entropy generation ### The entropy generation subsystems consists of at least two separate entropy generators. Each generator collects entropy from an independent physical process. The entropy sources MUST be of different types. For example avalance noise from a reversed bias P/N junction as one source and RSSI LSB from a receiver. The reason for having multiple entropy sources is both to provide reduncancy as well as making it harder for an attacker to affect the entropy collection by forcing the attacker to try and affect different physical processes simultaneously. A given entropy generator is responsible for collecting the entropy (possibly including A/D conversion.). The entropy generator MUST implement some on-line testing of the physical entropy source based on the entropy collected. The tests shall be described in detail here but will at least include tests for: * No long run lengths in generated values. * Variance that exceeds a given threshhold. * Mean value that don't deviate from expected mean. * Frequency for all possible values are within expected variance. If the tests fails over a period of generated values the entropy source MUST raise an error flag. And MAY also block access to the entropy it otherwise provides. There shall also be possible to read out the raw entropy collected from a given entropy generator. This MUST ONLY be possible in a specific debug mode when no random generation is allowed. Also the entropy provided in debug mode MUST NOT be used for later random number generation. The entropy generator SHALL perform whitening on the collected entropy before providing it as 32-bit values to the entropy accumulator. ### Entropy accumulation ### The entropy acculumation subsystems reads 32-bit words from the entropy generators. The 32-bit words are combined and mixed by a simple XOR-mixer into 32-bit words accumulated. (TODO: We need a mechanism for mixing that supports generators with different rates, capacity.) When 1024 bits of mixed entropy has been collected the entropy is used as a message block fed into a hash function. The hash function used is SHA-512 (NIST FIPS 180-4). When at least 256 blocks have been processed the current 512 bit digest from SHA-512 is possible to extract from the entropy accumulator as seed for the random generator. When a seed value has been extracted the entropy message is discarded and a new message shall be started. This means that no entropy collected is allowed to affect more than one seed value. Note that the number of 256 bit blocks used to generate the digest can and probably will be much higher. The 256 block limit is the lower warm-up bound. This lower bound may be increased as needed to provide more trust. The complete TRNG MUST NOT be able to generate any random numbers before the warm-up bound has been met and the random generator has been seeded. ### Random generation ### The random generation consists of a symmetric cipher that generates a stream of values based on an intial state from the seed provived by the entropy accumulator. Our proposal is to use the ChaCha stream cipher with 256 bit key and 96 bit IV. The key and IV are taken from the seed. This means that there will be a 32 bit counter and thus the maximum number of keystream blocks is (2**32 - 1). The cipher must then be reseeded and the counter be reset. We propose that it will be possible to configure the maximum number of blocks to generate. From 2**16 to (2**31 - 1). The number of rounds used in ChaCha should be conservatively selected. We propose that the number of rounds shall be at least 24 rounds. Possibly 32 rounds. Given the performance in HW for ChaCha and the size of the keystream block, the TRNG should be able to generate plentiful of random values even with 32 rounds. The random generator shall support the ability to test its functionality by seeding it with a user supplied value and then generate a number of values in a specific debug mode. The normal access to generated random values MUST NOT be allowed during the debug mode. The random generator MUST also set an error flag during debug mode. Finally, when exiting the debug mode, reseeding MUST be done. Finally the random generator provides random numbers as 32-bit values. the 512 bit keystream blocks from ChaCha are divided into 16 32-bit words and provided in sequence. ## Implementation details ## The core supports multpiple entropy sources as well as a CSPRNG. For each entropy source there are some estimators that checks that the sources are not broken. There are also an ability to extract raw entropy as well as inject test data into the CSPRNG to verify the functionality. The core will include one FPGA based entropy source but expects the other entropy source(s) to be connected on external ports. It is up to the user/system implementer to provide physical entropy souces. We will suggest and provide info on how to design at least one such source. ### Xilinx Spartan-6 ### Device: xc6slx45-3csg324 Regs: 9253 Slice LUTs: 9153 ## API ## Normal operation: * Extract 32-bit random words. Config parameters: * Number of blocks in warm-up. * Number of keystream blocks before reseeding. Debug access * Enable/disable entropy generator X * Check health of entropy generator X * Read raw entropy from entropy generator X as 32-bit word. * Write 256 bit seed value as 8 32-bit words * Read out one or more 512 bit keystream blocks as 32-bit words. ## Status ## *** (2014-10-04) *** The first version of the CSPRNG now works. The TRNG includes two different entropy providers, SHA-512 as mixer and the ChaCha stream cipher as CSPRNG. The on-line test system is still missing and the performance is not optimized. *** (2014-09-10) *** The CSPRNG is close to completion and can now generate random numbers after reading two 512 bit seed values. ***(2014-03-08)*** Adding a lot of text in the README to describe the ideas for the TRNG. This to allow discussions about the TRNG to be started. ***(2014-03-05)*** So far very little has been done. What will appear here soonish is a top level wrapper with 32-bit interface to allow API development to start.

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