Analysis and Forecasting Strategies of Attacks on Game Resources for Distributed Cybersecurity Training Games

Game tasks are vulnerable to methods of obtaining benefits based on the results of attacks on game resources. In such conditions, it is critical to determine, monitor and evaluate the possibility of such attacks. It is also advisable to select methods to prevent them in advance, constructing the gaming environment accordingly. The paper describes various types of attacks on the gaming environment, its vulnerable components. Some possibilities for building gaming environment were shown. To improve the architecture of the gaming environment, identify possible channels of key information leakage, game theory methods were chosen. The analysis was performed and the possibility of predicting the attack on game resources for a certain type of gaming environment was shown. For a distributed multiplayer security awareness game based on a real case, the estimates for the selected types of attacks are shown, the attacker's selection criteria for the attack are calculated, and countermeasures are proposed. The article presents the results of two computational experiments with minor differences in the network infrastructure and the stored amount of game key information. The results of the modelling of the main types of threats completely coincided with the obtained empirical data. The results shown can be used to evaluate various types of information security strategies in case of limited resources. The application of the approach is possible in various gamified media, including additional restrictions.