COMPARATIVE STUDY OF TESTS FOR ASSESSMENT OF STATISTICAL CHARACTERISTICS OF RANDOM AND PSEUDO-RANDOM SEQUENCE GENERATORS

In the world of information security, computer science and cryptography, the issue of statistical security of generated sequences is very important. Statistical sequence security plays an important role in the following fields: cryptography, computer security, system modeling, statistical analysis, and information security in networks. This article is devoted to the study and comparison of test sets for evaluating the statistical properties of random and pseudorandom sequence generators. The comparison focuses on well-known test suites such as NIST, DieHard, and TestU01. These tests were selected for study because of their widespread use and recognized effectiveness in measuring the quality of generators. The article examines various aspects of these test suites, including purpose, complexity, scope, scoring accuracy, popularity, challenges and limitations, and innovation and development. NIST tests are widely used in cryptography and research, and they take a number of approaches to evaluate different aspects of random sequences. DieHard tests focus on complex statistical properties and are usually used for more in-depth analysis of generators. On the other hand, TestU01 tests hav