[en] People working with computers often sloppily talk about their system's 'random number generator' and the 'random numbers (RN)' it produces. Random numbers have a wide range of applications. They are used as ranging signal in radar system, controlling signal in remote control, encryption codes or keys in digital communication, address codes and spread spectrum codes in code division multiple access (CDMA). Random bits or number generators are key ingredients in a large number of fields as mentioned above and a wide application to scientific computations like, stochastic experiments, cryptography, communications and simulation for many complex experimental set up for basic physics research. In particular, the security of communication and cryptography vitally depends on the quality and quantities of random ciphers (i.e., random bits or numbers). There are two approaches to generate random numbers: software-based and physics-based. In this contribution, varieties of RNG with their important properties are presented and predicted a suitable RNG function for simulation involving experimental nuclear physics