Adaptive Game Levels via Secure Player Data Analysis

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This project explores the challenges of static levels in gaming, focusing on the core question of balancing logs and privacy. It encompasses a two-agent framework for player metrics logging, highlighting the significance of security and privacy. The framework is tested, revealing key algorithm comparisons and associated results. Security threats are assessed, followed by the introduction of mitigation strategies. A comprehensive summary encapsulates the findings, outlining future directions...