20202020 International Conference on Computer Science, Engineering and Applications (ICCSEA)Requires access

An Empirical Study of Non-Cryptographically Secure Pseudorandom Number Generators

Mehul Singh, Prabhishek Singh, Pramod Kumar

Open publisher page 9 citations

Abstract

This paper gives an empirical study of various pseudorandom number generators (PRNG), along with their brief history, from the traditional ones such as Middle Square Method to the most advanced ones like Xoroshiro128+, along with various modifications that were added to them. Comparing them on the basis of their computational times, code complexities and the algorithms used by them, it can be deduced that which of the PRNG is the fastest, or which gives the most equidistant random numbers and which generator is most useful for a particular purpose. This paper doesn’t cover any cryptographically secure pseudorandom number generator (CSPRNG) and all the generators mentioned henceforth are cryptographically insecure.

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What this paper is about

This paper gives an empirical study of various pseudorandom number generators (PRNG), along with their brief history, from the traditional ones such as Middle Square Method to the most advanced ones like Xoroshiro128+, along with various modifications that were added to them. Comparing them on the basis of their computational times, code complexities and the algorithms used by them, it can be deduced that which of the PRNG is the fastest, or which gives the most equidistant random numbers and which generator is most useful for a particular purpose. This paper doesn’t cover any cryptographically secure pseudorandom number generator (CSPRNG) and all the generators mentioned henceforth are cryptographically insecure.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

This paper gives an empirical study of various pseudorandom number generators (PRNG), along with their brief history, from the traditional ones such as Middle Square Method to the most advanced ones like Xoroshiro128+, along with various modifications that were added to them. Comparing them on the basis of their computational times, code complexities and the algorithms used by them, it can be deduced that which of the PRNG is the fastest, or which gives the most equidistant random numbers and which generator is most useful for a particular purpose. This paper doesn’t cover any cryptographically secure pseudorandom number generator (CSPRNG) and all the generators mentioned henceforth are cryptographically insecure.

Key concepts: Pseudorandom number generator, Pseudorandom generator, Computer science, Random seed, Pseudorandom generator theorem, Cryptography, Random number generation, Computer security

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