The video games industry reached a revenue of $455.27 billion in 2024, with Multiplayer Online Games (MOGs) as the figurehead.

However, this industry, which depends on user satisfaction, is threatened by cheating actions that degrade the gaming experience.
Cheaters can exploit the distributed nature of MOGs with network flow disruption attacks, manipulating the network to disrupt game synchronization. Detecting those attacks is challenging due to the difficulty of distinguishing between instabilities and latency inherent in the network and artificial manipulations. Our research conduted aims to seek for detection techniques. In this objective, the first step is the implementation of a framework that can be leveraged to generate data that helps understand whether it is possible to differentiate between honest and cheating behaviors.

This article describes the preliminary experimental results obtained, highlighting the effects of network flow disruption attacks on MOGs. The framework is planned to be deployed online to streamline research on detection solutions as part of future research plans.