Research On Stationary Randomness Of Random Sequences Based On Variant Measurement

With the rapid development of the communication technology,the modern society has paid more and more attention to data security.In many application scenarios,for the confidentiality purpose,the encryption of data which transmitted in modern cyberspace is necessary,The encrypted data is usually random and unpredictable ciphertext.On this premise,the security of data encryption,depends largely on the randomness and unpredictability of its encrypted sequences.Therefore,it is of great value to measure the randomness of a random sequence effectively.With the vigorous development of quantum computing in recent years,the random number generated by artificial algorithm is now facing fierce challenges from quantum random number.How to divide the true random sequence and pseudo random sequence effectively?Additionally,the traditional methodology aims at detecting the randomness by setting a specific criterion,there is a lack of measurement of the refined characteristics based on its statistical distribution.For the above problems,this thesis proposes a measuring method of stationary randomness of the random sequences based on variant measurement.Compared with the traditional method,variant measurement is a new type of measurement mode.By using probability statistical methodology,the random sequences will be transformed into statistical distributions.With the application of variant visualization method,the visual characteristics of signals can be observed,which can effectively illustrate the statistical distribution characteristics of random sequences.On the basis of the variant measurement system,this thesis explores the high-dimensional statistical characteristics.The main work is focused on the study of the stationary randomness of random sequences.By shifting random sequences,new random sequences are generated,Based on the statistical distribution of newly shifted sequences,its information entropy and maximum of statistical distributions are used as high-dimensional statistical measures,combined with visual analysis and quantitative analysis methods.Measuring the stationary randomness of random sequences.This thesis introduces the introduction,related theories,the architecture of the model and workflow of each core modules are described systematically.The random sequences generated by different mechanisms are measured,and the corresponding visualization results and quantitative indicators are obtained.Based on this,a comparative analysis is given.At last,the research work of this paper is summarized and prospected...