Pseudo-random number generators are used in applications, such as digital signatures, hashing, encryption, seed vector, One-Time Passwords (OTP), etc. Random number generation is the backbone of every cryptographic algorithm. Currently, there are multiple cryptographic algorithms that have been developed and have been effectively deployed. Due to this, a majority of the transactions take place online, which makes online security for banking and e-commerce highly essential. The COVID-19 pandemic has caused an exponential growth in the dependency on internet sources. Chaotic map-based pseudo-random number generation can be utilized in multi-media encryption, video-game animations, digital marketing, chaotic system simulation, chaotic missile systems, and other applications. The lowest execution time observed was 0.23 seconds with the Zaslavsky chaotic map and the highest data rate was 15.367 Mbits per second using a hyperchaotic map. The highest entropy was 7.999995 bits per byte using the quantum chaotic map. After carefully analyzing all the recent literature, we found that the lowest correlation coefficient was 0.00006, which was achieved by Ikeda chaotic map.

This manuscript gives a summary of how the chaotic maps are used to generate pseudo-random numbers and perform multimedia encryption. Chaotic maps are mathematical functions that generate a highly arbitrary pattern based on the initial seed value. The method which is the backbone for building encryption algorithms is the pseudo-random number generator based on chaotic maps. Because of this, there is an urgent need to develop highly secure algorithms which can not be hacked into by unauthorized users.

Sectors such as e-commerce, sensitive multi-media transfer, online banking have skyrocketed. Because of the COVID-19 pandemic, most of the tasks have shifted to an online platform.

Network magic key generator