BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning.
Brandon BowenAnitha ChennamaneniAna E. GoulartDaisy LinPublished in: Int. J. Inf. Sec. (2023)
Keyphrases
- deep learning
- intrusion detection system
- intrusion detection
- network security
- network traffic
- distributed intrusion detection
- anomaly detection
- network traffic data
- unsupervised learning
- restricted boltzmann machine
- network intrusion detection
- unsupervised feature learning
- mental models
- machine learning
- attack detection
- computer systems
- weakly supervised
- natural language processing
- decision trees
- information systems
- data sets
- misuse detection
- association rules
- probabilistic model
- data mining techniques