What is an example of a behavior-based detection method?

Behavior-based detection methods focus on identifying malicious activity by analyzing the typical behavior of users, systems, or network traffic and identifying deviations from normal patterns. Anomaly detection specifically involves monitoring for unusual patterns or outliers that could indicate a security threat. This method does not rely on predefined signatures of known threats, which is a characteristic of signature detection. Rather, it establishes a baseline of normal behavior and triggers alerts when it detects behaviors that significantly differ from this baseline.

In contrast, signature detection relies on known patterns or signatures of malware and other security threats to identify intrusions. Log analysis entails reviewing logs for suspicious activity but does not inherently focus on behavioral deviations. Protocol analysis examines network protocols and looks for violations or errors in communication but isn’t primarily focused on behavior. Thus, anomaly detection stands out as a clear example of behavior-based detection, making it the correct answer.