Feature Entropy Estimation (FEE) for Malicious IoT Traffic and Detection Using Machine Learning

Algorithm 1 Data collection and feature extraction.

(1)	Begin
(2)	Input: Incoming IoT traffic (IoTtraffic)
(3)	Output: Extracted Features ()
	i = input packets, = gateway nodes,
	inorm = normalized input packet
(4)	For each i ϵ IoTtraffic
	⟶Gateway (i)
z_score (i)⟶ inorm
Extract (i)⟶
Return ()
(5)	End