2018DEStech Transactions on Computer Science and EngineeringOpen access

Statistical Tests for Random and Quantum Random Number Generators

Gabriela Mogos

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Abstract

This paper presents a few aspects regarding the testing of two random number generators. The importance of the quality of a generator is according to the type of application used. The outputs of these generators may be used in cryptographic applications to generate encryption keys. Random number generators used in cryptographic applications must meet certain requirements, and the most important is that their outputs must be unpredictable in the absence of knowledge of the inputs. This paper presents the analysis of a few statistical tests performed on two random number generators: a classic-software, and a quantum-hardware. These tests may be considered to determine if a generator is adequate to be used in particular cryptographic applications.

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What this paper is about

This paper presents a few aspects regarding the testing of two random number generators. The importance of the quality of a generator is according to the type of application used. The outputs of these generators may be used in cryptographic applications to generate encryption keys. Random number generators used in cryptographic applications must meet certain requirements, and the most important is that their outputs must be unpredictable in the absence of knowledge of the inputs. This paper presents the analysis of a few statistical tests performed on two random number generators: a classic-software, and a quantum-hardware. These tests may be considered to determine if a generator is adequate to be used in particular cryptographic applications.

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Available abstract

This paper presents a few aspects regarding the testing of two random number generators. The importance of the quality of a generator is according to the type of application used. The outputs of these generators may be used in cryptographic applications to generate encryption keys. Random number generators used in cryptographic applications must meet certain requirements, and the most important is that their outputs must be unpredictable in the absence of knowledge of the inputs. This paper presents the analysis of a few statistical tests performed on two random number generators: a classic-software, and a quantum-hardware. These tests may be considered to determine if a generator is adequate to be used in particular cryptographic applications.

Key concepts: Random number generation, Computer science, Cryptography, Random seed, Generator (circuit theory), Encryption, Pseudorandom number generator, Random testing

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