True random number generation method based on chaotic encryption

Abstract

The invention discloses a true random number generation method based on chaotic encryption. The true random number generation method comprises the following steps of: recording a piece of audio by portable digital voice recording equipment; converting the format of the audio into a wav format, introducing the audio into MATLAB software installed in computer equipment, and reading a signal (y), a sampling rate Fs and sampling bits of the audio; generating a chaotic sequence, of which the length is same as the length of the value sequence of the signal (y), by a chaotic system, wherein an initial value and a system parameter of the chaotic system guarantee that the system generates a chaotic behavior after iteration; encrypting the value sequence of the signal (y) by the chaotic sequence to generate an encrypted true value sequence; and performing binary processing on the encrypted true value sequence, wherein a binary output is a true random number. An audio signal is recorded by a portable device so that a random source is acquired easily and conveniently; the acquired audio sequence is encrypted by the chaotic sequence so that the difference of audio signals recorded at different times is further expanded; and the random number can be generated by using regular audios, such as music with weak background noise.

Description

Technical field [0001] The invention relates to a random number generation method in computer information technology, in particular to a true random number generation method based on chaotic encryption. Background technique [0002] Random numbers play a very important role in many fields of science, technology and daily life, such as information security, simulation, and lottery. Random numbers are divided into pseudo-random numbers and true random numbers. Pseudo-random numbers are generally generated by a certain computer algorithm, so there are certain rules to follow and can be predicted. True random numbers are based on a certain natural noise, have uniform external characteristics, have no rules to follow, and are completely unpredictable. The generation of true random numbers requires a random source. The current random source is generally obtained by detecting physical noise such as radioactive decay, particle trajectory, electronic circuit noise, atmospheric noise...

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Problems solved by technology

However, when recording, the sound is dominated by regular music and the ambient noise is relatively small. Therefore, from figure 1 , figure 2 It can also be seen from the two sets of waveforms that although the signals of each recording are slightly different, most of them are the same, and the generated random numbers also have a high similarity

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