A Smart Agent Design for Cyber Security Based on Honeypot and Machine Learning

Algorithm 2

Decision.

	INPUT
	K//number of clusters
	Vpn = (V1^user, V2^user....,Vn^user)//user information array (vector of vectors)
	(HMab, HCLc[f]) Hackers profiles
	START
	UM ab = Q1A(Vpn)//qualitative adaptation
	N cd = Q2A(Vpn)//quantitative adaptation
	f = c−1//linear regression order = space dimension−1
	for j = 1; i < c; j++//For each row of Ncd
	(Cj [K], Rj [K]) = K-means (Nid, K)//creation of clusters center
et radius
	for j = 1; i < c; j++
UCLj[f] = Linear Regression (Cj [K], Rj [K], Nid)//Linear
Regression of every clusters
	OUTPUT
	Distance(HCLc[f], UCLj[f])
	Isequal(HMab, UMab)