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What is network anomaly detection?
Network anomaly detection is a critical aspect of network security and performance management. It involves the continuous monitoring of network traffic and activities to identify deviations from established patterns of normal behaviour. By detecting these deviations, known as anomalies, organisation…
Headline
Network anomaly detection is a critical aspect of network security and performance management. It involves the continuous monitoring of network traffic and activities to identify deviations from established patterns of normal behaviour. By detecting these deviations, known as…
Context
Network anomaly detection is a critical aspect of network security and performance management. It involves the continuous monitoring of network traffic and activities to identify deviations from established patterns of normal behaviour. By detecting these deviations, known as anomalies, organisations can identify potential security threats, system malfunctions, or performance issues before they escalate into more significant problems. Several techniques are used to detect anomalies in network traffic:
Evidence
Pending intelligence enrichment.
Analysis
Statistical methods : It establish a baseline of normal network behaviour based on historical data. Any significant deviations from this baseline are flagged as anomalies. For example, if a network typically handles 1000 requests per hour and suddenly handles 5000, this spike would be considered an anomaly. Machine learning : The algorithms can automatically learn and adapt to normal behaviour patterns over time. These algorithms build models that can differentiate between normal and abnormal activities. Techniques such as clustering, classification, and neural networks are often used to improve detection accuracy and reduce false positives. Heuristic methods : It rely on predefined rules and patterns to identify anomalies. These rules are based on known threat signatures or expected network behaviour. While this method is straightforward and easy to implement, it may not be as flexible or adaptive as machine learning approaches. Also read: What is vulnerability management lifecycle?
Key Points
- Network anomaly detection involves identifying unusual patterns or behaviours within a network that deviate from the expected norm.
- It plays a crucial role in maintaining network security and performance by detecting potential threats and issues early.
Actions
Pending intelligence enrichment.
