Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security

• Published in: IEEE transactions on sustainable computing Vol. 5; no. 2; pp. 204 - 212
• Main Authors: Jiang, Feng, Fu, Yunsheng, Gupta, B. B., Liang, Yongsheng, Rho, Seungmin, Lou, Fang, Meng, Fanzhi, Tian, Zhihong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; attack detection; Classifiers; Data preprocessing; data security; Deep learning; Feature extraction; Image processing; Intrusion detection; Machine learning; Natural language processing; Neural networks; Preprocessing; Recurrent neural networks; recurrent neural networks (RNNs); Support vector machines; sustainable computing; Training

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 so...