Research on analysis model of fraud-related APP based on mixed features
Aiming at the problem of difficult classification of fraud-related APPs,N-gram,principal component analysis and other methods are used to reduce the dimension of the feature codes formed by Dalvik bytecode and permission features,and K-Means++ clustering algorithm is used to construct the analysis model of APK fraud-related family,so as to achieve the purpose of classifying fraud-related APPs.
NETL
NSTL
万方数据
维普
