A lightweight supervised intrusion detection mechanism for IoT networks

Souradip Roy, Juan Li, Bong-Jin Choi, Yan Bai

Abstract: Highlights•The algorithm is lightweight fitting for IoT networks with resource constraints.•The algorithm requires a smaller training set and reduces the training time.•The algorithm achieves a higher detection rate for less popular attacks.•The algorithm reduces the false positive rate.