A High Speed ​​True Random Number Generator

Abstract

The invention discloses a high-speed true random number generator. The true random number generator comprises a first feedback ring oscillation true random source, a second feedback ring oscillation true random source and an encryption operation unit, wherein the first feedback ring oscillation true random source is used for generating a first random sequence; the second feedback ring oscillation true random source is used for generating a second random sequence; and the encryption operation unit performs encryption operation by taking the first random sequence as plaintext data and taking the second random sequence as a key, and outputs ciphertext data as a random number. Compared with the prior art, the true random number generator consists of only general logic units, so that system integration is very easy; meanwhile, the true random number generator is realized in an encryption manner; the generated random number is subjected to isostatic correction through an XOR chain and a DES algorithm to realize that two ring oscillators generate a combination of random numbers; and finally the random number generation rate reaches 400Mbit / s.

Description

technical field [0001] The invention relates to the field of true random number generators, in particular to a true random number generator based on an encryption algorithm. Background technique [0002] True Random Number Generator (TRNG) is an important part of information encryption equipment, and the unpredictable and non-reproducible key number string it generates plays an important role in information encryption. To some extent, the randomness and security of random numbers determine the performance and security of the entire encryption algorithm. Although the true random number based on the physical random source has made a breakthrough compared with the pseudo-random number generator in terms of the length and independence of the random sequence, the randomness of the true random number sequence generated by it is not stable enough, and the quality of the random number Not as high, and the spawn rate is slower. Therefore, an important direction in the research of t...

AI Technical Summary

Problems solved by technology

However, the phase jitter in the above circuit structure still needs considerable accumulation time, resulting in a limited increase in sequence speed; in addition, when the phase jitter is relatively small, there may be a dominant frequency in the output spectrum, which will cause the output sequence to be correlated; at the same time, the sampling frequency The increase of will cause the sequence bias to increase, and the distribution of 0 and 1 in the sequence will be uneven, resulting in poor quality of random numbers

Images