A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks.
Chuanlong YinYuefei ZhuJinlong FeiXin-Zheng HePublished in: IEEE Access (2017)
Keyphrases
- recurrent neural networks
- intrusion detection
- deep learning
- intrusion detection system
- unsupervised learning
- anomaly detection
- neural network
- machine learning
- unsupervised feature learning
- network traffic
- network intrusion detection
- high detection rate
- feed forward
- artificial neural networks
- data mining
- network security
- network intrusion
- recurrent networks
- echo state networks
- mental models
- detecting anomalous
- weakly supervised
- network attacks
- databases
- alert correlation
- intrusion prevention
- computer networks
- artificial intelligence
- pattern recognition
- feature space