Decoding RNG: everything you need to know about the Random Number Generator!

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RNG, or " Random Number Generator , " is an essential tool in many fields, including computing, video games, online applications, and even online transactions! But what exactly is RNG, and how does it work? In this article, we'll demystify this random number generation system and explain its purpose. Ready to learn more? Let's go!

What is a Random Number Generator – RNG?

A random number generator is simply a tool that produces numbers that do not follow any predetermined logic . In other words, they are " random ".

It is important to note that, although these numbers are called "random," they are actually generated by an algorithm that follows a set of precise rules. This means that it is theoretically possible to predict the numbers that will be generated, but this would require complete knowledge of the algorithm used and the current state of the generator.

History of RNG

The first electronic random number generator was created by the mathematician John von Neumann in the 1940s. He used a random number generator to help develop the first general-purpose computer , the ENIAC .
Since then, many other random number generators have been created, using a variety of algorithms and generator grain sources.

Applications of RNG

Online transactions : RNG is used to enhance the security of online transactions by generating security codes and secure passwords .
Information technology : RNG can be used to create security tokens that can be used to authenticate users and protect sensitive data during transmission.
Cryptography: Random number generators are used to create encryption keys to ensure the security of online communications .
Games of chance: Random number generators are used in games of chance such as slot machines and card games to ensure the impartiality of the results .
Video games: Random number generators are used in video games to create random events such as loot in role-playing games or enemies that appear in shooting games.
Scientific simulations: Random number generators are used in scientific simulations to mimic natural randomness and variability in data.
Data analysis: Random number generators can be used to randomly select data samples for analysis .

How do Random Number Generators work?

There are many different algorithms that can be used to create random number generators, but they all follow a similar process. Here's how it generally works:

An "initial state" is chosen, usually in the form of a number or sequence of numbers. This initial state is called a " generator grain ".
The algorithm uses the generator grain to produce a new random number, which is called a " prime number ".
The prime number is used to update the generator grain , which is used to produce the next random number, and so on.

It is important to note that the generator grain must be chosen in such a way that it is unpredictable. If the generator grain can be predicted, then it is possible to predict the random numbers that will be generated by the generator.

Types of Random Number Generators

There are several types of random number generators, which differ in how they produce random numbers. Here are some examples:

Pseudo-random number generators : These generators use an algorithm to produce numbers that appear random but are not. They are generally used when truly random numbers are not required, or when producing genuinely random numbers is difficult.
Motion-based random number generators : These generators use sensors to detect physical movements, such as the movement of a mouse or joystick , and use these movements to produce random numbers.
Noise-based random number generators : These generators use sensors to detect physical noises, such as wind noise or background noise from an environment, and use these noises to produce random numbers.
Time-based random number generators : These generators use the current time or other time measurements to produce random numbers.

Although each of these types of generators has its own advantages and disadvantages, they are all used in different situations depending on the application's needs.

RNG in computer science

RNG is used in many aspects of computing , notably for generating random numbers for passwords , encryption keys , and authentication tokens . It can also be used to simulate randomness in computer programs , such as in video games or simulations.

On personal computers, RNG can be used to generate random numbers when installing software or operating systems , or when using encryption programs to protect files and communications.

It is important that random number generators used on personal computers are secure and cannot be easily predicted, in order to protect sensitive data and ensure system security . Users can also use random password generator create strong passwords and protect their online accounts.

This article might interest you: How to recover Google Authenticator on my device

RNG in video games

Using RNG in video games is a way to create uncertainty and randomness in the events that occur within the game. This can be used to add variety and interest to the game by making each playthrough unique.

There are several different ways in which RNG can be used in video games. For example, it can be used to determine which enemies appear in a level, what loot is generated for the player, or to determine the results of certain player actions (such as hitting an enemy or trying to hack a system).

It is important that the random number generators used in video games are balanced and fair, so that players do not feel that the game is rigged against them. This can be achieved by using robust RNG algorithms and performing tests to ensure that the generated results are balanced.

Controversy surrounding microtransactions with RNG

Microtransactions have been at the center of controversy in the gaming world due to their link with random number generators (RNGs ). Indeed, some players have accused games that use microtransactions of favoring players who spend real money by granting them access to more powerful game elements through RNG. This can create the impression that the game is rigged and that only players who spend money have a chance of succeeding.

This practice, known as " loot boxes ," has sparked considerable controversy and been criticized for exploiting players' psychology and encouraging them to spend real money in the game. Some governments have even taken steps to regulate the use of these microtransactions, considering them to be similar to gambling and therefore subject to stricter regulations.

RNG in cryptocurrency

RNG plays an important role in the creation and securing of cryptocurrency transactions .

When a cryptocurrency transaction is made, a new block is added to the blockchain . To securely add this new block to the chain, a complex mathematical problem called "proof of work" must be solved. This proof of work typically involves hashing a large amount of data, which can be a very time-consuming and computationally expensive process .

To make this process faster and less expensive, some cryptocurrency protocols use what is called " proof-of-stake mining ". In this case, the nodes (computers) on the blockchain are randomly selected to add the new block to the chain, using a random number generator to determine which node will be chosen.

It is important that this random number generator be secure and unpredictable to prevent fraud and hacking attacks . If an attacker were able to predict which node will be chosen to add the next block, they could try to falsify transactions or take control of the blockchain.

Is RNG used for online payments?

Yes, banks often use RNG (random number generation) to generate random data, in order to enhance transaction security .

For example, when you make an online transaction , your bank may use a random number generator to create a unique security code , which will be sent to your mobile phone to verify your identity . This ensures that only the credit card holder can authorize the transaction and prevents fraud.

Similarly, banks often use RNG to generate random and secure passwords when creating online accounts. This helps protect user accounts from hacking attempts .

Cyberattack on the RNG?

It is possible for a cyberattack to target a random number generation (RNG) system in order to predict the data it generates and thus compromise the security of transactions or accounts protected by the RNG. However, it is difficult to know if such cases have actually occurred, as this information is often confidential and not made public.

It is important to note that, in most cases, random number generation systems are designed to be highly secure, and it is difficult to predict the data they generate . Furthermore, many companies and organizations implement security measures to protect their random number generation systems against cyberattacks.

Conclusion

The RNG (Random Number Generator) is an essential tool for ensuring the security of computer systems and protecting sensitive data. It is used in many fields, such as computing, video games, and online transactions.

However, there is a risk of cyberattacks on RNGs , as it is theoretically possible to predict the numbers produced by a random number generator by knowing the algorithm used and the generator's current state. If an attacker manages to predict the numbers produced by a random number generator, they could use this information to hack systems or falsify transactions!

In summary, although RNG is an important tool for the security of online transactions and accounts, it is difficult to know if cyberattacks have succeeded in compromising these random number generation systems.

As a precaution, updating software and using strong passwords can protect against potential attacks.