A Novel Android Malware Detection Approach Based on Convolutional Neural Network
作者： Yi Zhang , Yuexiang Yang , Xiaolei Wang
关键词:
摘要: With the explosive growth of Android malware, there is a pressure for us to improve the performance of existing malware detection approaches. In this paper, we proposed DeepClassifyDroid, a novel android malware detection system based on deep learning. DeepClassifyDroid takes a three-step approach: feature extraction, feature embedding and deep learning based detection. The first and second steps perform a broad static analysis and generate five different feature sets. The last step performs malware detection based on …
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