What Is Pseudo Random Number Generator (PRNG)?

If you're looking for a way to keep your messages unique and secure, you might be interested in using a pseudo-random number generator (PRNG). PRNGs are algorithms that use mathematical formulas to produce sequences of random numbers. It ensures that the sequence of numbers approximates the properties of random numbers. A small group of initial values determines the output. If you're familiar with cryptography and encryption, you know how important it is to ensure each message has its unique key. PRNGs ensure that every time a message is sent, it will be encrypted with a different key. PRNGs are the most common algorithm for generating random numbers. They're used by computer programs and games to create unexpected, unpredictable values. There are many PRNG algorithms, but the most widely used ones include: linear congruential generators, lagged Fibonacci generators, linear feedback shift registers, Blum Blum Shub, Fortuna and Mersenne Twister. These algorithms all use different methods of creating random numbers based on the same principles: they take a starting value (seed) and then follow a set of steps to build new deals each time they're called upon to generate a unique number. The most common type of PRNG is called a linear congruential generator because it uses an equation that produces each value in a sequence based on the previous value and some multiplier (often referred to as p). Pseudo-random numbers are a deterministic but efficient way to generate a series of numbers that seem random. The key to understanding pseudo-random numbers is understanding how they're generated. Pseudo-random number generators start from an arbitrary starting state, usually with a seed state. Many numbers are generated quickly, and the generator can be reproduced later by starting from the same condition. It means that the numbers are deterministic—you can recreate them at will—but it also means that they're efficient: you don't have to wait as long for your following number.