Anomaly detection algorithms monitor IoT systems for unusual activity, enabling early detection of potential security breaches.
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Anomaly detection algorithms monitor IoT systems for unusual activity, enabling early detection of potential security breaches.
Anomaly detection algorithms are a type of data analysis technique used in IoT systems to identify patterns or events that deviate from expected behavior. These algorithms can help detect abnormal activities or security breaches by comparing incoming data with established norms or predefined parameters. By continuously monitoring the system for anomalies, such algorithms can enable early detection of potential security threats and prompt necessary actions to mitigate risks.