Design of Intrusion Detection and Prevention in SCADA System for the Detection of Bias Injection Attacks

Algorithm 2

Pseudo code for proposed the Entropy-based Extreme Learning Machine.

	Step 1: Initialize training set
	Activation function f(x); hidden node number L
	Wj = 0; j = 1, 2, …, L; Wj random generation of hidden mode
	Step 2: Calculate Entropy
	; //bias value generation
	Step 3:
	Where;
	Step 4: Calculate
	H = (W1, W2, …, WL); (x1, x2, …, xN); (b1, b2, …, bL)
	β = H^TT; //output matrix determined
	Step 5: Calculate actual output Sj
	Step 6: γ = γ + D; //Direction of the features
	Step 7: if x > Minxr(γ); //feature verified
	EM = Rb(i); //Label function condition
	End