IDPS use this type of detection to identify significant deviations. What is this method called?

IDPS use this type of detection to identify significant deviations. What is this method called?

• A. Signature-Based Detection
• B. Network Behavior Analysis
• C. Anomaly-Based Detection
• D. Stateful Protocol Analysis

Answer: (C)

Anomaly-Based Detection is the correct answer, as this method focuses on identifying patterns that significantly deviate from the established norms or baseline behaviors of a network or system. By monitoring the typical activities within a network, including the normal range of operations for users and devices, anomaly-based detection systems can effectively flag unusual behaviors that may indicate potential security threats, such as intrusions, malware infections, or other security incidents. This detection approach relies on mathematical models or threshold values to understand what is considered "normal" activity. When an observed activity exceeds these thresholds or diverges from the expected patterns, it triggers alerts for further investigation. This is particularly valuable in dynamic environments where new and unknown threats can emerge, as it allows security teams to identify potential risks even if specific signatures or behaviors associated with those threats have not been previously defined. In contrast, other detection methods focus on different aspects of network security. Signature-Based Detection relies on known attack patterns or signatures to identify threats, while Network Behavior Analysis examines traffic patterns for anomalies but does not exclusively focus on significant deviations in the same way. Stateful Protocol Analysis inspects the state and context of network protocols to enforce compliance with predetermined rules, which may not specifically address significant deviations from normal behavior. Thus, Anomaly-Based Detection

Anomaly-Based Detection is the correct answer, as this method focuses on identifying patterns that significantly deviate from the established norms or baseline behaviors of a network or system. By monitoring the typical activities within a network, including the normal range of operations for users and devices, anomaly-based detection systems can effectively flag unusual behaviors that may indicate potential security threats, such as intrusions, malware infections, or other security incidents.

This detection approach relies on mathematical models or threshold values to understand what is considered "normal" activity. When an observed activity exceeds these thresholds or diverges from the expected patterns, it triggers alerts for further investigation. This is particularly valuable in dynamic environments where new and unknown threats can emerge, as it allows security teams to identify potential risks even if specific signatures or behaviors associated with those threats have not been previously defined.

In contrast, other detection methods focus on different aspects of network security. Signature-Based Detection relies on known attack patterns or signatures to identify threats, while Network Behavior Analysis examines traffic patterns for anomalies but does not exclusively focus on significant deviations in the same way. Stateful Protocol Analysis inspects the state and context of network protocols to enforce compliance with predetermined rules, which may not specifically address significant deviations from normal behavior. Thus, Anomaly-Based Detection