1 results about "Ensemble learning" patented technology

The invention discloses an efficient Android malware detection model DroidDet based on rotating forest and belongs to the technical field of information security. According to the invention, a decompilation tool is used to decompile the Apk file in an Android application program and a combination of four groups of features is analyzed and extracted as the input for building a rotating forest classifier model. The model is characterized in that 1) the integrated learning method-rotating forest algorithm is initially adopted; further, each base learning device is trained through adopting PCA major constituent analysis and self-service sampling method and using a whole training set; accordingly, the model created in the invention has superior generalization performance; 2) the rotating forest algorithm has the feature of selecting the optimal characteristics so as to avoid noise data. The 10-fold cross-validation method is used for verifying the validity of the model created in the invention and the predicting accuracy of the model in the invention reaches 88.26%, which is 3.13% higher than the 84.93% of typical support vector machines. The model of the invention has wide application prospect in user information security.