Online gaming has become a favorite leisure activity for a lot of people. Considering that gaming is now more accessible as it is made available on mobile devices, players get to enjoy their favorite casino games anywhere and at any time.
This increased accessibility has led to most players hyperfixate with the games. This hyperfixation has varying effects with people and for some; it results in frustration especially when they fail to clear out a round of a casino game. The frustration may lead players to resort to cheating just so they can succeed in game tournaments or achieve a specific prize.
As more people resort to cheating to beat either the gaming platform or their competition, online casino platforms have started implementing stricter regulations and monitoring systems to detect and prevent dishonest practices.
Below, let us explore how neural networks are poised to revolutionize anti-cheat mechanisms and enhance risk analysis in online casino gaming.
How Do Gaming Platforms Determine and Prevent Cheating?
Cheating has existed since the invention of gaming. Depending on the game, cheating can take on many forms and this includes, cheating by collusion, cheating by exploiting a bug or loophole, using multiple accounts, or doing payment fraud.
As a result, game developers and online gaming platforms like Betway started improving their means in determining and preventing cheating practices of players. For some, they have merely strengthened their KYC (Know Your Customer) processes to ensure better identification and verification of identities of players. Others have turned away from traditional means and have turned to advanced software tools and even machine learning to detect and prevent such dishonest practices.
While others have been adopting machine learning programs like neural networks, some are monitoring betting patterns like the way Betway and other casino platforms have been doing to look out for activities that stand out from the usual and expected behavior. Whenever these platforms monitor betting patterns and find suspicious activity, they usually exclude these suspicious accounts from certain promotions, reduce stake limits, or even prevent them from participating in certain betting games.
The Role of Neural Networks and Observing Betting Patterns To Avoid Cheating
As online gaming platforms improve their methods to detect and prevent cheating, they have adopted neural networks and other AI algorithms to analyze player behavior and identify suspicious patterns in real-time.
In brief, a neural network is a series of algorithms designed to process data and recognize patterns via a process that mimics the complex functions of the brain. With these networks, it helps computers make better decisions with limited human assistance. Due to these networks excelling at pattern recognition became an ideal fit to detect unusual betting platforms for online casinos and other similar gaming platforms.
As Betway and other online gaming platforms incorporate it into their anti-cheating systems, neural networks are used:
- To Collect Data
Neural networks can help gaming platforms to analyze unstructured data out of betting patterns, player profiles, and other relevant information. From there, it can also help in identifying patterns and categorizing them to make it easy to detect fraud or cheating attempts.
- To Do Real-Time Monitoring
Aside from collecting data, it can also be used to analyze gaming patterns and player behavior to identify deviations from normal ones. For example, if a player suddenly increases their betting frequency or changes their fixed strategy, the networks can raise flags and have it determined for further investigation.
- To Do Adaptive Learning
Aside from observing and preventing cheating, it can also be used to adapt to new patterns. As new cheating methods emerge, neural networks can be trained with new data, allowing it to evolve and stay ahead of cheating players.
Other than identifying and preventing instances of cheating, these neural networks can also be used to significantly improve their risk management strategies. With a neural network, a gaming platform can easily mitigate risks that could disrupt the casino business processes. Depending on the network they have they can train it to identify operational risks to prevent business losses.
In addition, it can also be used to ensure smooth operations and increase protection against cybersecurity threats. These networks can be used to identify strong cybersecurity protocols and make important decisions especially when the whole gaming platform is given a cybersecurity risk.
Final Thoughts
As the online casino industry continues to evolve, it is important for gaming platforms to adapt to improving fraud and cheating identification as well as protection.
By leveraging the power of advanced technology, gaming operators can better ensure smooth gaming operations, analyze betting patterns, and overall provide a safer gaming environment for all players. As these technologies develop, players can expect a more equitable gaming experience where genuine skill without the help of cheats can thrive.
