对 Detection of Malicious Code Variants Based on Deep Learning 的简单理解
文章的核心技术主要包括三种： 1.把恶意代码转换成灰度化图像 2.利用卷积神经网络对图像进行识别和分类，能够自动提取恶意软件图像的特征. 3.使用蝙蝠算法来解决不同恶意软件家族之间的数据不平衡问题。 Index Terms— Malware variants 恶意软件变体 grayscale image 灰度图像 deep learning 深度学习 convolution neural netw
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