A Comprehensive Survey for Machine Learning and Deep Learning Applications for Detecting Intrusion Detection.
Ola M. SurakhiAntonio Mora GarcíaMohammed JamoosMohammad Y. AlkhanafsehPublished in: ACIT (2021)
Keyphrases
- deep learning
- intrusion detection
- machine learning
- detecting anomalous
- network intrusion detection systems
- intrusion detection system
- anomaly detection
- unsupervised learning
- data mining
- unsupervised feature learning
- network security
- network traffic
- misuse detection
- weakly supervised
- network intrusion
- network intrusion detection
- high detection rate
- deep architectures
- information security
- learning algorithm
- alert correlation
- data sets
- mental models
- deep belief networks
- data mining techniques
- pattern recognition
- computer networks
- normal behavior
- natural language processing
- reinforcement learning
- real world