I still don't understand why we aren't using server-side gameplay analysis for cheat detection. You can have some obvious inhuman-level gameplay heuristics for real time kicks/timeouts during matches and post-game analysis by AI to flag for review or outright automatically ban gameplay that deviates from normal high-level players.
replyGames very much are using server-side statistics analysis for cheat detection. Valve made a presentation about it and Epic has an API for feeding game state data to ML anticheat for aimbot detection (game-specific and in addition to their existing anticheat measures)
replyIt’s just that it doesn’t work.
But why doesn't it work?
replyEither everyone on Earth who’s working on this has a skill issue (which is probably hubris?) or there’s not enough differing humanized enough aimbot from human aim (note: Valve manages to screw up even here, with cheaters in Premier basically rage aimbotting these days IIRC)
replyIn addition, there’s not much these things can do against subtler stuff like ESP.
So now we're using an AI cheat snoop to detect the behaviours of AIs, which means the cheat AI will need to learn to avoid the tell-tale patterns the AI cheat snoop looks for and avoid them, which mean the AI cheat snoop will need to....
replyIt won't close the skill gap bump, but the more an AI aimbot degrades itself to mimic a human to beat cheat detection the less advantage it will give to the players using it.
replyIt is scary how nuanced the cheating tools already here. Here is a video promoting cheat software explaining how nuanced their aimbot system can be made to mimic real play: https://www.youtube.com/watch?v=hrBohlkHMjU
and will have to do something along those lines for online play.
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