What type of detection method might compare current system behavior to past behavior?

Anomaly-based detection is the method that compares current system behavior to past behavior. This approach involves establishing a baseline of normal operations and then monitoring real-time activity to identify any deviations that could indicate potential security incidents or anomalies. By analyzing the patterns of behavior observed in a system over time, it can detect unusual activities that do not conform to established baselines, which may signify malicious activities or intrusions.

This method is particularly effective because it does not rely on known signatures of threats, allowing it to identify new or unknown attacks that could bypass traditional detection methods. It continuously learns and adapts to changes in the system, enhancing its ability to identify potential threats based on unusual behavior patterns.

The other detection methods do not focus on the comparison of current behavior to established norms in the same way. Signature-based detection relies on predefined patterns of known threats, static analysis detection examines code without executing it to identify vulnerabilities, and behavioral monitoring is a broader term that may encompass various techniques, including anomaly detection but does not specifically highlight the comparative analysis aspect fundamental to anomaly-based detection.