Malware Images Classification Using Convolutional Neural Network

• 作者: Chang Hoon Kim Espoir K. Kabanga
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: MALWARE Convolutional NEURAL NETWORK MALWARE CLASSIFICATION
• 年，卷（期）: 2018,（1）
• 页码范围: 153-158
• 页数: 6页
• 分类号: TP39

摘要

Deep learning has been recently achieving a great performance for malware classification task. Several research studies such as that of converting malware into gray-scale images have helped to improve the task of classification in the sense that it is easier to use an image as input to a model that uses Deep Learning’s Convolutional Neural Network. In this paper, we propose a Con-volutional Neural Network model for malware image classification that is able to reach 98% accuracy.