Detecting network anomalies based on traffic baseline involves establishing a normal traffic pattern and identifying deviations from it. Here's how it works:
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Establish a Traffic Baseline:
- Collect historical network traffic data over a period (e.g., daily, weekly) to define normal behavior.
- Key metrics include bandwidth usage, packet rates, protocol distribution, and connection patterns.
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Define Thresholds:
- Set acceptable ranges for each metric (e.g., average bandwidth ±10%).
- Use statistical methods (mean, standard deviation) or machine learning to dynamic thresholds.
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Monitor Real-Time Traffic:
- Continuously compare current traffic against the baseline.
- Flag deviations exceeding thresholds as potential anomalies.
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Analyze and Respond:
- Investigate flagged events (e.g., sudden traffic spikes, unusual protocols).
- Correlate with logs or security tools to confirm threats (e.g., DDoS, data exfiltration).
Example:
A company’s baseline shows 1 Gbps peak bandwidth during business hours. If traffic suddenly jumps to 3 Gbps at 2 AM, it triggers an alert for investigation.
For scalable anomaly detection, Tencent Cloud offers Network Security Solutions like:
- DDoS Protection: Detects and mitigates traffic anomalies.
- Cloud Monitor: Tracks network metrics and sets custom alerts.
- Tencent Cloud Network Intelligence: Uses AI to identify deviations in real time.