Abstract:Most of traditional antivirus systems fail to detect unknown malcodes or variants. Data mining method solves this problem as it classifies new malcodes by matching representative features. Feature selection is a key to apply data mining to successfully detect malcodes. In this paper, we propose a method, Weighted Information Gain (WIG), which can select effective features more correctly by combining the advantages of Information Gain with feature frequency. The experiment results demonstrate that the proposed … Show more
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