Among the given options, anomaly detection systems typically produce the most false alarms. This is because anomaly detection systems work by identifying deviations from a baseline of normal behavior, which can be highly variable and unpredictable due to the diverse activities of users and networks.
While both network-based IDS (NIDS) and host-based IDS (HIDS) can employ anomaly detection methods, it is the specific approach of anomaly detection itself that tends to generate a higher rate of false positives compared to signature-based detection methods, which rely on known patterns of malicious behavior.
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