/******************************************************************************************** * FrodoKEM: Learning with Errors Key Encapsulation * * Abstract: noise sampling functions *********************************************************************************************/ #include #include "api.h" #include "params.h" static uint16_t CDF_TABLE[CDF_TABLE_LEN] = CDF_TABLE_DATA; void PQCLEAN_FRODOKEM1344SHAKE_CLEAN_sample_n(uint16_t *s, const size_t n) { // Fills vector s with n samples from the noise distribution which requires 16 bits to sample. // The distribution is specified by its CDF. // Input: pseudo-random values (2*n bytes) passed in s. The input is overwritten by the output. unsigned int i, j; for (i = 0; i < n; ++i) { uint8_t sample = 0; uint16_t prnd = s[i] >> 1; // Drop the least significant bit uint8_t sign = s[i] & 0x1; // Pick the least significant bit // No need to compare with the last value. for (j = 0; j < (unsigned int)(CDF_TABLE_LEN - 1); j++) { // Constant time comparison: 1 if CDF_TABLE[j] < s, 0 otherwise. Uses the fact that CDF_TABLE[j] and s fit in 15 bits. sample += (uint16_t)(CDF_TABLE[j] - prnd) >> 15; } // Assuming that sign is either 0 or 1, flips sample iff sign = 1 s[i] = ((-sign) ^ sample) + sign; } }