Final answer:
The first thing to create when deploying an anomaly-based detection system is a baseline of normal network behavior. This baseline will serve as a reference point for detecting abnormal patterns. Regular updates and refinements to the baseline are crucial to reduce false positives or false negatives.
Step-by-step explanation:
When deploying an anomaly-based detection system to monitor network activity, the first thing you should create is a baseline of normal network behavior. This baseline will serve as a reference point for detecting any abnormal patterns or deviations in the network activity. To create the baseline, you would need to collect data on the normal network behavior during a specific time period, preferably when the network is stable and not experiencing any network attacks or anomalies. This data can be collected using network monitoring tools or by analyzing network traffic logs.
Once you have the baseline, you can then configure the anomaly-based detection system to identify and alert on any deviations from the baseline. The system can use various techniques such as statistical analysis, machine learning, or behavioral analysis to identify anomalies in the network activity.
It's important to regularly update and refine the baseline to keep it up-to-date with the changing network environment. This will help the anomaly-based detection system adapt to new network patterns and reduce false positives or false negatives in the detection of anomalies.