# Yet Another Pseudorandom Number Generator

## TL;DR

This paper introduces a new pseudorandom number generator utilizing Rössler attractor and bent Boolean functions, demonstrating strong statistical and cryptanalytic security properties.

## Contribution

It presents a novel pseudorandom number generator combining chaotic attractors with bent Boolean functions, enhancing security features.

## Key findings

- High pass rate in statistical tests
- Strong resistance to cryptanalysis
- Effective pseudorandomness properties

## Abstract

We propose a novel pseudorandom number generator based on R\"ossler attractor and bent Boolean function. We estimated the output bits properties by number of statistical tests. The results of the cryptanalysis show that the new pseudorandom number generation scheme provides a high level of data security.