A Study Of Machine Learning Classifiers for Anomaly-Based Mobile Botnet Detection

This study evaluates five machine learning classifiers, namely Naive Bayes, k-nearest neighbour, decision tree, multi-layer perceptron, and support vector machine and finds that knearest neighbour provides the optimum results in terms of performance among the classifiers.