Application of deep reinforcement learning to intrusion detection for supervised problems.
Manuel López MartínBelén CarroAntonio Sánchez-EsguevillasPublished in: Expert Syst. Appl. (2020)
Keyphrases
- intrusion detection
- reinforcement learning
- intrusion detection system
- anomaly detection
- network intrusion detection
- network security
- network traffic
- data sets
- computer security
- false positives and false negatives
- detecting anomalous
- unsupervised learning
- semi supervised
- artificial immune
- network intrusion
- data mining
- data mining techniques
- supervised learning
- information security
- feature extraction
- feature selection
- high detection rate
- machine learning