Is It Possible to Create a Non-Pseudo Random Number Generator?

While many sources assert that a non-pseudo random number generator is impossible to create, this article will challenge that common belief. It explores the possibilities and limitations of generating truly random numbers in both hardware and software contexts, and argues that under certain circumstances, it is indeed feasible to create such a generator.

Understanding Pseudo Random Number Generators

The concept of pseudo-random number generators (PRNGs) is rooted in the deterministic nature of computing. A PRNG uses a seed value and a deterministic algorithm to generate a sequence of numbers that appear random but are, in fact, predictable. This approach is widely used in simulations, cryptography, and various other applications due to its reliability and efficiency.

Can We Create Non-Pseudo Random Number Generators?

The title of this article poses a question: why can't we create a non-pseudo random number generator?

Hardware Random Number Generator (HRNG)

The key to generating truly random numbers lies in hardware. Devices known as hardware random number generators (HRNGs) collect environmental noise from their surroundings to generate truly random bits. Unlike PRNGs, which rely on deterministic algorithms, HRNGs capture chaotic and unpredictable physical events, giving us a source of true randomness.

Working Principle of HRNG

HRNGs work by measuring various physical phenomena that are inherently unpredictable and chaotic. For example, they might use thermal noise, radioactivity, atmospheric noise, or other environmental factors to generate random bits. These measurements are then processed to produce a stream of random numbers that are statistically indistinguishable from true randomness.

Why HRNGs Are Not More Widely Used?

The primary reason HRNGs are not more frequently used is their complexity and cost. Collecting and processing true randomness requires specialized hardware and precise environmental conditions, which makes these devices more expensive and less practical for many applications.

Can Software Generate True Randomness?

While software alone cannot generate true randomness, it can enhance the quality of a random number stream. For instance, software can combine pseudo-random numbers with entropy from real-world sources to produce a more secure and unpredictable sequence. However, achieving true randomness purely through software is still a challenge.

Modern CPUs and True Randomness

Modern CPUs often contain built-in hardware that generates random numbers, but their accuracy is limited. These specialized circuits, known as entropy collectors, measure physical events like voltage fluctuations and generate random numbers based on them. While faster than traditional software PRNGs, they are still not considered true randomness.

Conclusion

While the assertion that a non-pseudo random number generator is impossible to create is not entirely accurate, it is true that practical implementations of true randomness are rare. The limitations arise from the complexity and cost of hardware solutions and the inherent deterministic nature of software. However, there are valid use cases where true randomness is necessary, and HRNGs, when available, can provide this.

In summary, while HRNGs can provide true randomness, they are not widely used due to practical constraints. Nevertheless, understanding the difference between pseudo-random and true randomness is crucial for those working in fields that require high levels of security and unpredictability.