Question: How can machine learning contribute to the improvement of network anomaly detection?
Answer:
Machine learning can contribute to the improvement of network anomaly detection by identifying patterns and anomalies in network behavior, aiding in the detection of unusual activities.
MCQ: How can machine learning contribute to the improvement of network anomaly detection?
Explanation:
Machine learning can contribute to the improvement of network anomaly detection by identifying patterns and anomalies in network behavior, aiding in the detection of unusual activities.
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Related Questions
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- 2. How does machine learning contribute to the identification of patterns in encrypted traffic for security analysis?
- 3. In what way can AI enhance the identification and prevention of data exfiltration attacks?
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