HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection.
Anastasios Panagiotis PsathasLazaros IliadisAntonios PapaleonidasDimitris BountasPublished in: AIAI (1) (2022)
Keyphrases
- intrusion detection
- deep learning
- cyber security
- intrusion detection system
- anomaly detection
- unsupervised learning
- network security
- machine learning
- network traffic
- unsupervised feature learning
- network intrusion detection
- high detection rate
- cyber attacks
- alert correlation
- information security
- distributed intrusion detection
- weakly supervised
- data mining
- neural network
- mental models
- critical infrastructure
- network intrusion
- detecting anomalous
- network intrusions
- network intrusion detection systems
- data mining techniques
- network attacks
- computer networks
- intrusion prevention
- data sets
- computer vision
- misuse detection
- bayesian networks
- fraud detection