Random number generation unit and random number generator

Abstract

The invention provides a random number generation unit, which comprises a transistor, a grid electrode of the transistor is an input end, a source / drain electrode of the transistor is electrically grounded, a drain / source electrode of the transistor is electrically connected to a working level through a tunnel junction, and the tunnel junction is a true random number generation source, so that a level value of the drain / source electrode end of the transistor is an output random number. As the real physical process is adopted as the signal source of the true random number and has the characteristics of randomness, unpredictability and the like, the problems of periodicity, correlation and the like of the pseudo-random number are eliminated, the generated random number is uniform in distribution, conforms to the characteristics of irrelevance and the like, and is a high-quality true random number. The on-chip true random number generator is realized by utilizing an integrated circuit, utilizes technologies such as an assembly line, synchronous processing and resource reuse of chip design, and has the advantages of low cost, good stability, high speed, easiness in realization and thelike.

Description

technical field [0001] The invention relates to the field of microelectronics, in particular to a random number generating unit and a random number generator. 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. 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. 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. In order to obtain unpredic...

AI Technical Summary

Problems solved by technology

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

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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