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

Algorithm 1

Learning.

	INPUT
	K//number of clusters
	Vpn = (V1^user, V2^user,...,Vn^user)//Hacker information array (vector of vectors)
	START
	M 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++
	CLj[f] = Linear Regression (Cj [K], Rj [K], Nid)//Linear
Regression of every clusters
	OUTPUT//Hacker profile
	M ab//qualitative adaptation
	CLc[f]//linear regression coefficients