Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security
IEEE Transactions on Sustainable Computing(2020)
摘要
Deep learning methods, e.g., convolutional neural networks (CNNs) and Recurrent Neural Networks (RNNs), have achieved great success in image processing and natural language processing especially in high level vision applications such as recognition and understanding. However, it is rarely used to solve information security problems such as attack detection studied in this paper. Here, we move forw...
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关键词
Feature extraction,Training,Recurrent neural networks,Machine learning,Intrusion detection,Data preprocessing
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