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Fig. 1 | EURASIP Journal on Wireless Communications and Networking

Fig. 1

From: Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set

Fig. 1

Proposed framework for detecting cyber-attacks from IoT networks. Suggested system showing information flow as used in this research. UNSW-NB15 data-set is acquired and pre-processed, then features are extracted according to flow/MQTT and TCP protocols and four clusters are made. Three ML classifiers are used for classification on these clusters

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