Evaluation of advanced ensemble learning techniques for android malware detection
Evaluation of advanced ensemble learning techniques for android malware detection
In this paper, we advance and assess various kinds of machine learning (ML) by applying ensemble-based learning systems for identifying Android malware related to a substring-based feature selection (SBFS) strategy for the classiers.