A Comparative Study on Detection of Malware and Benign on the Internet Using Machine Learning Classifiers

Algorithm 2

Classification of APK.

(i)	Steps:
(ii)	Input: 1. Features (F1,F2,F3.....Fn)
(2)	Algorithms: A (SVM, Naive Bayes, random forest)
(iii)	Output Classification of.apk (benign or malware
(iv)	Begin
(v)	Extract the F1- Fn features
(vi)	Select data points
(vii)	Apply on algorithms (here referred SVM, Naive Bayes, random forest)
(viii)	For i = 1 to n do//i represents the features.
(ix)	If the rank r in Fn (equal or max similarity)
(x)	Then
(xi)	Classify
(xii)	Else
(xiii)	Repeat the rank similarity
(xiv)	Check .APK
(xv)	Apply on Time Complexity
(xvi)	Find the suitable algorithm based on Time Complexity.
(xvii)	END