MobiSentry: Towards Easy and Effective Detection of Android Malware on Smartphones

Algorithm 1

MobiSentry algorithm.

	Algorithm 1: ensemble of classifiers
	Input: classifier set: C, training dataset: S1, and test dataset: S2
	Output: labeled detection results of S2(1)Run C on S1;(2) Type of Detection: Classification or Categorization;(3) Ensemble rule of multiple classifiers: majority voting or malware override;(4)for each s S2 dO(5)  Frequency for each unique Malware Detection result of s obtained from C;(6)  FMD[s, r];(7)  MD[s, r];(8)  FMD[s, r];(9)  MD[s, r];(10) switch (11) case (12)  if majority voting then(13)   (14)  else if malware override then(15)   if 0 AND 0 then(16)    0(17)   else(18)    1(19)   end if(20)  end if(21) case Categorization :   (22) end switch(23)end for(24)return