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This article discusses the importance of anomaly detection in Internet of Things (IoT) security and proposes a method for detecting anomalous processes in IoT devices. The method involves creating a process whitelist based on K-Core decomposition and has shown promising results in accurately detecting anomalous processes in real-world datasets. The proposed algorithm has the potential to enhance the overall security of IoT devices.