What is the term for a model of normal network activity used to detect deviations?

Abaselineis a representation or model of normal network activity, capturing expected patterns and behaviors over time. It serves as a reference point against which anomalies and deviations can be detected. By establishing a baseline, security analysts can identify unusual activities that might indicate security incidents.

Baselineinvolves statistical analysis of historical data to define normal ranges for metrics like traffic volume, connection rates, or login times.

Clusterrefers to grouping similar data points, often used in anomaly detection but not synonymous with a model of normal activity.

Time seriesis a sequence of data points indexed in time order, useful for monitoring trends but not specifically a model of normalcy.

Data modelrefers to an abstract schema for organizing data, such as Splunk’s CIM data models.

TheSplunk Cybersecurity Defense Analyst Study Guidehighlights baselining as a fundamental technique in anomaly detection and network security monitoring.