A bidirectional LSTM deep learning approach for intrusion detection.
Imrana YakubuYanping XiangLiaqat AliZaharawu Abdul-RaufPublished in: Expert Syst. Appl. (2021)
Keyphrases
- association rules
- deep learning
- intrusion detection
- data mining
- data mining techniques
- intrusion detection system
- anomaly detection
- unsupervised learning
- unsupervised feature learning
- machine learning
- network security
- network intrusion detection
- network traffic
- recurrent neural networks
- information security
- high detection rate
- mental models
- weakly supervised
- network intrusion
- fraud detection
- detecting anomalous
- alert correlation
- network attacks
- neural network
- object recognition
- normal behavior
- information retrieval