Deep learning for network intrusion: A hierarchical approach to reduce false alarms.
Samuel J. MooreFederico CrucianiChris D. NugentShuai ZhangIan ClelandSadiq SaniPublished in: Intell. Syst. Appl. (2023)
Keyphrases
- false alarms
- deep learning
- network intrusion
- detection rate
- network intrusion detection
- number of false alarms
- restricted boltzmann machine
- unsupervised learning
- network security
- unsupervised feature learning
- deep belief networks
- intrusion detection
- anomaly detection
- false positives
- fraud detection
- face detection
- network traffic
- mental models
- real world
- computer networks
- weakly supervised
- computer vision
- detection algorithm
- reinforcement learning
- bayesian networks
- decision trees
- feature selection
- machine learning