

However, pseudo-RNGs can have better statistical properties and can oftentimes produce random numbers faster than true RNGs, and are thus still popular today. If the input seed is known, the entire random number sequence can be reproduced. A true RNG uses a non-deterministic (chaotic) source for random number generation 12, 13, whereas a pseudo-RNG creates a deterministic sequence of numbers that depends on an input (seed) 11, 12. It is important to note the distinction between true RNGs and pseudo-RNGs.


Such hardware RNGs create bit streams depending on highly unpredictable physical processes, making them useful for secure data transmission as they are less prone to cryptanalytic attacks 8, 9, 10, 11. Of today’s state-of-the-art RNGs, the Intel RNG provides 500 MB/s of throughput.
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New methods for random number generation were developed, such as the Silicon Valley-developed lava lamp and the Mersenne Twister (a software RNG) 6, 7. Shifting from algorithm to interactions, the modern world required network security services, and thus introduced encryption and decryption schemes for exchanging information securely, requiring high-quality random numbers (generated faster while being less prone to attacks) 4, 5.
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Thus began a series of technological breakthroughs including the first integration of a hardware random number generator (RNG) into a real computer, the Manchester Mark I, by using electrical noise 3. The increasing necessity of being able to generate large quantities of random numbers for societal needs is made obvious when viewing the technological developments thereafter: About half a century later, solving problems with probabilistic procedures demanded a volume of random numbers much greater than that a dice could produce efficiently 2. These words of Francis Galton published in Nature in 1890, vividly demonstrate one of the simplest methods for generating random numbers. When they are shaken, they tumble wildly about, and their positions at the outset afford no perceptible clue to what they will be after even a single good shake and toss” 1. “As an instrument for selecting at random, I have found nothing superior to dice.
