Optimizing Computer Worm Detection Using Ensembles

Algorithm 2

Random forest.

Input: Learning set- S, Ensemble size B, Proportion of

attributes considered f

Output: Ensemble E

(1) E = φ

(2) for i = 1 to B do

(3) =Boostrap Sample(S)

(4) =Build Random Tree Model (, f)

(5) E = E ∪

(6) return E