Method for obtaining random number by utilizing null drift data

Abstract

The invention discloses a method for obtaining a random number by utilizing null drift data, relates to the technical field of information safety, in particular to a method for collecting a random number by utilizing a hardware circuit, in particular to null drift data of a gyroscope in a static state of equipment. An upper computer is connected with the gyroscope to acquire the null drift data ofthe gyroscope to generate a random number. A gyroscope is provided with a standard data output interface, so that the gyroscope can be conveniently read out without a special actual hardware circuit.Zero drift is the inherent characteristic of the gyroscope and has output at any time, and a large number of random numbers can be generated according to requirements and are not limited by time. Factors involved in null drift data are very complex and unpredictable and reproducible, and collection of true random numbers is guaranteed.

Description

technical field [0001] The present application relates to the field of information security technology, and in particular to a method for obtaining random numbers by using hardware circuits, especially the zero-drift data of a gyroscope, when a device is in a static state. Background technique [0002] In the network society, information security is in a very important position, resulting in various data encryption algorithms. [0003] Random numbers are important resources in information security and cryptographic applications, and can participate in all stages of information encryption. The quality of random numbers has a decisive impact on information security. Random numbers that meet application requirements must meet randomness, unpredictability, and non-reproducibility: [0004] 1. Pseudo-random number: It looks random and can pass the existing randomness test. [0005] 2. Cryptographically secure pseudo-random numbers: Unpredictable, that is to say, even if the al...

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Problems solved by technology

[0005] 2. Cryptographically secure pseudo-random numbers: Unpredictable, that is, even if the algorithm or hardware design that generates the sequence and all the knowledge of the previous sequence are given, it is impossible to predict what the next sequence will be through calculation

[0012] The above implementation has the following problems: 1. Relying on hardware time to generate seeds, hardware actions need to be captured. When actions rarely occur, the generation speed drops significantly

How to obtain random numbers from the gyroscope in a static application scenario without external intervention has not been applied

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