對 Detection of Malicious Code Variants Based on Deep Learning 的簡單理解
文章的核心技術主要包括三種： 1.把惡意代碼轉換成灰度化圖像 2.利用卷積神經網絡對圖像進行識別和分類，能夠自動提取惡意軟件圖像的特徵. 3.使用蝙蝠算法來解決不同惡意軟件家族之間的數據不平衡問題。 Index Terms— Malware variants 惡意軟件變體 grayscale image 灰度圖像 deep learning 深度學習 convolution neural netw
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相關文章
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