An Enhanced Pseudorandom Number Generator Based Differential Lorenz system by using Runge-Kutta method

As networks become more interconnected, pseudo-random number generators (PRNGs) are essential for security. These generators produce random numbers at high speeds and with good unpredictability quality. This paper details our efforts to create a secure communication channel using the Lorenz system. With the aid of Runge Kutta's 4^th Order approach, the Lorenz system has been achieved. The suggested map performs better than other previously created improved chaotic maps because of its structure. On a MATLAB 2020a, the unpredictable system is implemented. The suggested chaotic system's binary sequences are evaluated using the NIST (National Institute of Standards and Technology) test suit to determine their unpredictability. The outcomes show that the chaotic structure shows a variety of dynamical behaviors and is sensitive to the initial circumstances and exhibits good randomness. As a result, the stream cipher can employ this system. Our system's shows an increase in keyspace and speed compared to previous systems, making it more appropriate for security applications, spread spectrum wireless communication, computer simulation.