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Anomaly-based intrusion detection systems monitor network traffic for deviations from established baselines of normal behavior. They can detect suspicious activities that deviate from the expected patterns, such as abnormal traffic volume or unusual user behavior. Anomaly-based systems use machine learning and statistical analysis to identify potential security threats.

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