Malicious code detection method and device based on deep learning and storage medium

The invention discloses a malicious code detection method and device based on deep learning and a storage medium, and belongs to the technical field of information security. According to the method, the to-be-detected codes are obtained and input into the preprocessing module for data processing, the feature data after data processing are obtained, then the feature data are input into the pre-constructed detection model, and the malicious code judgment result is output by the detection model. The to-be-detected code is detected through the detection model, the malicious code detection result is automatically generated, and the malicious code detection accuracy is improved. 本发明公开了一种基于深度学习的恶意代码检测方法、设备与存储介质，属于信息安全技术领域。本发明通过获取待检测代码，并将待检测代码输入预处理模块进行数据处理，得到数据处理后的特征数据，然后将特征数据输入预构建的检测模型，由所述检测模型输出恶意代码判断结果。实现了通过检测模型对待检测代码进行检测，并自动生成恶意代码检测结果，提高了恶意代码检测的准确率。