Power consumption and rate adjustable physical random number generation method

Abstract

The invention belongs to the technical field of integrated circuits, and particularly relates to a power consumption and rate adjustable physical random number generation method. The device comprisesan entropy source module, an entropy sampling module and a clock signal. The entropy source module is composed of M ring oscillators, a node of each ring oscillator serves as signal output at the sametime, and the output of the nodes presents periodic signals and chaotic signals by adjusting the working voltage of the digital logic circuit. The entropy sampling module performs quantitative sampling on output signals in each ring oscillator through a D trigger to generate a random bit sequence. The random bit sequence generates a periodic signal when the digital logic circuit is in a low-voltage state. When the digital logic circuit is in a high-voltage state, a chaotic signal is generated. The oscillation sampling method and the chaotic circuit method are combined, the speed and power consumption of the physical random number generator are controlled by adjusting the voltage, the circuit structure is simple, and integration and miniaturization are easy to achieve.

Description

technical field [0001] The invention belongs to the technical field of integrated circuits, in particular to a method for generating physical random numbers with adjustable power consumption and speed. Background technique [0002] In the rapidly developing information age, information security issues have attracted much attention. In order to ensure information security, modern cryptographic techniques are often applied to security systems. Random numbers play a very important role in modern cryptography, for example, digital signatures, key management, and almost all cryptographic protocols and algorithms use random numbers. Therefore, the security of information security systems using random numbers depends to a certain extent on the randomness and security of random numbers. [0003] Random number generators can be divided into pseudo-random number generators and physical random number generators according to their different mechanisms. The pseudo-random number sequenc...

AI Technical Summary

Problems solved by technology

Solve the problems of single speed and high power consumption of existing physical random number generation methods and devices

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