While artificial intelligence has re-entered the mainstream in a big manner and has been used in almost every walk of life, there is one area where it has been extensively used for a long time. It is the online multiplayer game, where algorithms known as aimbots have been used extensively from the beginning of 2000. Cheats use this to gain an unfair advantage over other players and disrupt the fun of the game. Video game producers are trying to counter the rise of online cheating. However, the rise of the Internet has led to cheating to be distributed widely which has prompted developers to take a heavier hand towards moderating cheaters in online communities. Check out our website for fruitful information on cheat detection systems in video games now. Although artificial intelligence has entered the mainstream in a big manner and has been used in almost every walk of life, there is one specific area in which it has been widely used for several years. Online multiplayer games are where aimbots which are algorithms that replicate human behavior, are extensively utilized since the early 2000s. Cheaters use this technique to gain an advantage over human players, ruining the atmosphere of the game and how it was intended to be played. To address this issue video game developers are trying to stop the rising trend of cheating online. However, the growth of the Internet has given rise to the ability for cheats to be spread across the internet, incentivising developers to take more of a role in regulating cheaters on online communities. This shift has led to the current market in a state where companies are fighting the vast online cheating community. In this article, Analytics India Magazine takes more in-depth looks at cheating in video games as well as the eternal struggle of the developers to stop cheaters. What solutions are currently in use? While there are numerous techniques that can be employed in video games, there is one that is widely used and uses machine learning in its more advanced phases. These algorithms are referred to as aimbots. They make use of information that the computer running the game of the player collects about other players on the server. After that, the program determines if they are visible from the player's location, and if they are using a program referred to as the Triggerbot to fire a bullet. For more details on the cheat detection systems in video games website, go to bettergamer.com Advanced versions of these algorithms utilize image recognition for detecting whether the player is visible in their view. The model is trained on multiple images of the textures that are used in the game to enable it to differentiate between, for example, a wall and a player model. Some aimbots utilize ML to learn dynamically the movements of the opponent and to discover previously undiscovered maps. These types of systems fall under the umbrella of an AI expert system which attempts to mimic how am expert human plays an actual game. Companies Take on Players who are misaligned Due to the rapid growth of this field gaming companies were required to come up with new solutions to the issue of cheating. This led to the development of companies developing software that operate in three ways. Signature detection is the primary. This is like antivirus software for computers. A database of hacks is used to check the authenticity of an application. If the signature matches, the player using the cheating application is banned. Heuristic analysis is a different method which can be employed to determine whether a player is cheating. It uses win-loss patterns to identify cheating. The analysis will determine whether the players' current performance is proportional to the mean, and also to the previous performance of players. The third and final factor that is considered by anti-cheating systems as well as reports from players who have reported cheaters.