Advanced Rate Limiting and Throttling Strategy

Create a sophisticated rate limiting framework that supports adaptive throttling based on dynamic user behavior, system load, and priority queuing. Design algorithms that can distinguish between malicious traffic and legitimate high-volume requests, with granular control at user, IP, and organizational levels. Include sliding window algorithms, token bucket implementations, and machine learning-based anomaly detection.