Real-Time Competitive Integrity and Anti-Cheat System
Design a server-side machine learning system to detect and mitigate cheating (e.g., aimbots, wallhacks) in a high-scale competitive FPS game. The system must process telemetry from 1M+ concurrent sessions at a 64Hz tick rate. Focus on designing a scalable data ingestion and windowed feature engineering pipeline, a high-precision model architecture that minimizes false positives, and a reliable automated actioning system that balances real-time detection with the need for human-in-the-loop verification.
XGBoostFlinkKafkaProtobufONNXSparkFeature StoreRaySHAPEntity Resolution
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