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Stephan Müller authored
Using the kernel crypto API, the SHA3-256 algorithm is used as conditioning element to replace the LFSR in the Jitter RNG. All other parts of the Jitter RNG are unchanged. The application and use of the SHA-3 conditioning operation is identical to the user space Jitter RNG 3.4.0 by applying the following concept: - the Jitter RNG initializes a SHA-3 state which acts as the "entropy pool" when the Jitter RNG is allocated. - When a new time delta is obtained, it is inserted into the "entropy pool" with a SHA-3 update operation. Note, this operation in most of the cases is a simple memcpy() onto the SHA-3 stack. - To cause a true SHA-3 operation for each time delta operation, a second SHA-3 operation is performed hashing Jitter RNG status information. The final message digest is also inserted into the "entropy pool" with a SHA-3 update operation. Yet, this data is not considered to provide any entropy, but it shall stir the entropy pool. - To generate a random number, a SHA-3 final operation is performed to calculate a message digest followed by an immediate SHA-3 init to re-initialize the "entropy pool". The obtained message digest is one block of the Jitter RNG that is returned to the caller. Mathematically speaking, the random number generated by the Jitter RNG is: aux_t = SHA-3(Jitter RNG state data) Jitter RNG block = SHA-3(time_i || aux_i || time_(i-1) || aux_(i-1) || ... || time_(i-255) || aux_(i-255)) when assuming that the OSR = 1, i.e. the default value. This operation implies that the Jitter RNG has an output-blocksize of 256 bits instead of the 64 bits of the LFSR-based Jitter RNG that is replaced with this patch. The patch also replaces the varying number of invocations of the conditioning function with one fixed number of invocations. The use of the conditioning function consistent with the userspace Jitter RNG library version 3.4.0. The code is tested with a system that exhibited the least amount of entropy generated by the Jitter RNG: the SiFive Unmatched RISC-V system. The measured entropy rate is well above the heuristically implied entropy value of 1 bit of entropy per time delta. On all other tested systems, the measured entropy rate is even higher by orders of magnitude. The measurement was performed using updated tooling provided with the user space Jitter RNG library test framework. The performance of the Jitter RNG with this patch is about en par with the performance of the Jitter RNG without the patch. Signed-off-by: Stephan Mueller <smueller@chronox.de> Signed-off-by: Herbert Xu <herbert@gondor.apana.org.au>
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