Description: Anomaly detection in the Internet of Things (IoT) refers to the identification of unusual patterns in data generated by devices connected to the network. This technique is crucial for ensuring the security and optimal functioning of IoT systems, which range from smart home devices to industrial machinery. Anomaly detection allows for the identification of unexpected behaviors that may indicate failures, intrusions, or malfunctions. It employs machine learning algorithms and data analysis to establish a model of normal behavior and, from there, detects deviations. The relevance of this technique lies in its ability to prevent issues before they escalate into critical failures, thereby optimizing operational efficiency and enhancing the security of interconnected systems. In a world where the number of IoT devices continues to grow exponentially, anomaly detection becomes an essential tool for managing and maintaining complex technological infrastructures.
