True random number generating circuit and information security chip

Abstract

The invention provides a true random number generating circuit and an information security chip, applicable to an integrated circuit design field. According to the invention, by adopting the true random number generating circuit which comprises a noise signal modulation module and a high-pass digital filter module, corresponding mixed noise signals are generated after random noise signals undergo modulation, direct current components of the random noise signals are filtered completely to obtain high frequency random noise components, and then the true random number of high quality in correspondence with the high frequency random noise components is outputted, so as to solve problems that random number sequences are unevenly distributed and high frequency portion has partial loss in the prior art.

Description

technical field [0001] The invention belongs to the field of integrated circuit design, in particular to a true random number generating circuit and an information security chip. Background technique [0002] Random numbers play an important role in modern cryptography. In the asymmetric key encryption system represented by Rivest-Shamir-Adleman public key cryptography algorithm, digital signature algorithm and elliptic curve cryptography, it is necessary to generate keys through safe and reliable random numbers, and in network security protocols, The temporary exchange number during key distribution is often used for handshake with random numbers. [0003] At present, a true random number generator provided by the prior art utilizes the relative relationship between two independent high-frequency oscillators and low-frequency oscillators to obtain an uncertain noise source, and uses a high-jitter low-frequency oscillator to sample the high-frequency oscillator , thus gene...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a true random number generation circuit, aiming to solve the problem of uneven distribution of random number sequences and local loss of high frequency parts in the prior art

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