Advanced Honeypots | Anomaly Detection and Predictive Analyses
We will connect you with our Digital Services Information Sharing and Analysis Center.
This center is used for:
- Anomaly Detection
- Profiling networks, servers and desktops
- Predictive warnings
In data mining, anomaly detection (or outlier detection) is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or finding errors in text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.