An anomaly detection system is suitable for identifying unusual patterns or behaviors, such as suspicious IP addresses, which might indicate a potential threat.
Anomaly Detection:
Anomaly detection uses machine learning algorithms to identify deviations from normal behavior, such as unexpected traffic from a suspicious IP address.
This is a common approach for identifying potential threats or malicious activity in cybersecurity applications.
Why Option C is Correct:
Detects Suspicious Behavior: An anomaly detection system can monitor and detect IP addresses that exhibit unusual or suspicious patterns.
Real-time Monitoring: Provides continuous analysis of network traffic to identify potential security threats.
Why Other Options are Incorrect:
A. Speech recognition system: Is unrelated to detecting suspicious IP addresses.
B. NLP named entity recognition: Focuses on identifying entities in text, not IP address analysis.
D. Fraud forecasting system: Generally used for predicting fraud, not directly applicable to identifying suspicious IPs.
Thus, C is the correct answer for detecting suspicious IP addresses.
