I have reported all the cheaters that I know for sure in the game because some of them are very obvious. However, this issue has yet to be resolved. I would like to be able to get back into the game after being wiped so that I can see the end of the game and figure out who's cheating for real. This game is not fun at all if people cheat and I am considering to find something else more entertaining and healthy to play.
Finding cheaters in risk seems like a ideal problem that can be solved using the AI features that are in all the main cloud services such as Amazon Web Services, Microsoft Azure and Google Cloud.
For anyone not familiar with how these work is that you take all the data you have about a game. This should things like usernames, IP addresses, Platform, Complaints about a game, Length of game. Rankings etc. Basically anything at all you know about the game and the players.
Then you need to produce a dataset of games that were won by cheating and dataset of clean games. This is something that would take a little time but I am sure staff and volunteers could review games and flag them as clean or cheating games. This then becomes what is called the "training set". You give the AI systems this dataset and then they learn what games with cheating look like. Obviously the bigger and better the dataset the better the AI engine can learn.
One you have trained the AI engine then you pass a game to the engine and it will return a figure for how confident it is that a game included cheating.
I am interested in these kind of computer system but it is not really my speciality. Are there any experts in cloud AI who could comment on this.