Statistical analysis involves comparing current network traffic patterns to established baselines to identify deviations that may indicate anomalies or potential security threats.
Applying correlation rules in an IDS helps to combine and analyze data from multiple sources to identify patterns that are more likely to represent real threats, thereby reducing false positives.
Authentication logs record details about user login attempts and authentication events, including successful and failed logins.
A Network-based IDS (NIDS) monitors and analyzes network traffic for signs of malicious activity by examining packets as they travel across the network.
SIEM (Security Information and Event Management) systems are designed to collect, aggregate, and analyze log and event data from various sources to provide a comprehensive view of security activities and potential threats.
