Android Applications Categorization Using Bayesian Classification

摘要: The rapid growing of the Android application and malware has increased usage category in detection searching. However, defects management Market lead to a great deal applications miscategorization. Therefore, it's helpful for both organizing give an approach that can automatically distinguish different categories applications. In this paper, we present effective categorizing based on Bayesian classification. Considering is determined by its function, extracted used permissions strings reflect function from itself as classification features. Finally, conduct experiments with 13005 are composed 18 Naive Bayes. evaluation results show our achieve better accuracy performance than previous coarse-grained feature extraction methods.