A group of researchers have devised a self-learning system for detecting compromised IoT devices that does not require prior knowledge about device types or labeled training data to operate. “We propose a novel approach that combines automated device-type identification and subsequent device-type-specific anomaly detection by making use of machine learning techniques.

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