A Detection Framework of Malicious Code Based on Multi-Classifiers Ensemble

• DOI: 10.14257/ijsia.2016.10.6.09
• Publication Date: 2016-07-14T06:35:41Z
• Authors: Chao Dai; Jianmin Pang; Feng Yue; Pingfei Cui; Di Sun; Liang Zhu
• Keywords: Code (set theory); Ensemble Learning

Malicious code detection is one of the important missions malicious analysis. Current researches on mostly focused single classifier, whereas classifier not suitable for based features different types. We utilized multi-classifiers ensemble fuzzy integral to improve accuracy framework. A framework Choquet was proposed fuse analysis results base classifiers with features.And genetic algorithm used obtain measure.Finally, result compared a threshold predefined determine maliciousness binary code.Experiment showed that in this paper could be more accurately.