A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection.
Anastasios Panagiotis PsathasLazaros IliadisAntonios PapaleonidasDimitris BountasPublished in: EANN (2021)
Keyphrases
- intrusion detection
- deep learning
- cyber security
- intrusion detection system
- unsupervised learning
- anomaly detection
- unsupervised feature learning
- network security
- network traffic
- network intrusion detection
- machine learning
- data mining
- high detection rate
- information security
- network intrusion
- alert correlation
- weakly supervised
- data mining techniques
- network intrusions
- neural network
- data sets
- fraud detection
- training set
- cyber attacks
- detecting anomalous
- mental models
- outlier mining
- intrusion prevention
- network attacks
- normal behavior
- data analysis
- pattern recognition
- databases