Anomaly detection in network-based Intrusion Detection Systems (IDS) involves establishing a baseline of normal behavior for the network or system and then monitoring for deviations from this baseline. The IDS analyzes traffic patterns, system performance, user behavior, and other metrics to detect anomalies that could indicate a potential security breach. This method is particularly effective for identifying new or unknown threats that do not match any known signatures or definitions. By focusing on irregular patterns rather than predefined signatures, anomaly detection can provide early warnings of malicious activities that might otherwise go unnoticed.
References: The concept of anomaly detection within IDS is discussed in various cybersecurity resources, including academic publications and industry guides, which align with the ECCouncil's Network Defender (CND) objectives and documents1234.