On-chip true random number generator

Abstract

The invention relates to an on-chip true random number generator, which comprises a random noise generator, an AD (Analog to Digital) sampler, a noise converter and a sequence generator. The on-chip true random number generator is characterized in that an on-chip temperature sensor is used as a noise source of the true random number generator; a temperature value is converted into a digital signal through AD sampling; the digital signal obtained through sampling is subjected to noise extraction conversion, and a group of true random sequences is obtained; and finally, a plurality of groups of random sequences are assembled through the sequence generator, and true random numbers in any bit are generated. An on-chip noise signal is used as a signal source of the true random number, so the characteristics of randomness, unpredictability and the like are realized, and the generated random numbers are in uniform distribution, comfort to the characteristics of irrelevance and the like and belongs to high-quality true random numbers. The on-chip true random number generator belongs to an on-chip true random number generator realized by using an integrated circuit; the technologies of chip design production line, synchronous processing, resource reuse and the like are utilized; and the on-chip true random number generator has the advantages that the cost is low, the stability is good, the velocity is high, the realization is easy, and the like.

Description

technical field [0001] An on-chip true random number generator belongs to the fields of safety, communication and integrated circuit design, and particularly relates to the design of realizing a true random number generator inside a chip. Background technique [0002] In the fields of security and communication, there is an increasing demand for high-quality true random numbers. For most encryption systems, the performance of random numbers determines the security of the keys used and protocol parameters. [0003] Pseudo-random numbers implemented using software algorithms inevitably have characteristics such as periodicity and predictability, and there are security risks that can be attacked. Therefore, security systems using pseudo-random numbers must have performance bottlenecks. [0004] In order to obtain true random numbers, an existing method is to connect a true random number generator outside the chip. Although the problem of pseudo-random numbers is solved, there ...

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Problems solved by technology

[0003] Pseudo-random numbers implemented using software algorithms inevitably have characteristics such as periodicity and predictability, and there are security risks that can be attacked. Therefore, security systems using pseudo-random numbers must have performance bottlenecks

[0004] In order to obtain true random numbers, an existing method is to connect a true random number generator outside the chip. Although the problem of pseudo-random numbers is solved, there are problems such as high cost, slow speed, and complicated circuits.

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