Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion

Algorithm 1

Classification.

Input: CPHN, APIC

Output: probabilities and local credibility

() alg  = KNN, random forest, J48, data  = APIC, CHPN;

() for from to do

() for from to do

() create a thread

() dispatch alg and data to the thread

()

() end for

()

() end for

() run all threads, start classification

() for each thread do

() output the probabilities of apps

() calculate the local credibility

() end for