The Number One Educational Resource for the Game Industry
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Overview:
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Anti-cheat and cheat developers are locked in a cat and mouse cycle of detection and circumvention. Anti-cheat developers struggle to find new behavioral patterns that reliably identify cheating players imitating legitimate players, and cheat developers easily change the patterns. This talk will discuss a complementary anti-cheat technique, hallucinations, that baits cheating players into identifying themselves. Hallucinations are fake enemies imitating humans that legitimate players can't observebut cheating players can, because their cheating programs treat the apparitions as real players. Reconfigurable hallucinations are particularly interesting because they may flip the cycle so anti-cheat developers solve an easier problem, reconfiguring hallucination imitation behavior, and cheat developers solve a harder problem, detecting hallucination behavior patterns. The talk will provide an economic argument for why reconfigurable bait techniques may be a long-term strategy, a description of a hallucination implementation, and evidence that popular cheat programs treat one hallucination implementation as a real player.
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