A Comparative Study of Using Deep Learning Algorithms in Network Intrusion Detection.
Salwa ElsayedKhalil MohamedMohamed Ashraf MadkourPublished in: IEEE Access (2024)
Keyphrases
- network intrusion detection
- learning algorithm
- deep architectures
- intrusion detection
- anomaly detection
- network intrusion
- network anomaly detection
- fraud detection
- artificial immune
- network traffic
- unsupervised learning
- intrusion detection system
- deep learning
- learning problems
- machine learning
- active learning
- network traffic data
- training data
- network security
- supervised learning
- learning process
- network attacks
- computer networks
- data model