A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network.
Kayode Yakub SaheedAisha Abubakar UsmanFavour Dirwokmwa SukatMuftahu AbdulrahmanPublished in: Frontiers Comput. Sci. (2023)
Keyphrases
- intrusion detection
- network traffic
- feature selection
- particle swarm optimization
- intrusion detection system
- network intrusion
- intrusion prevention
- network attacks
- anomaly detection
- computer networks
- network security
- network traffic data
- network intrusion detection
- high detection rate
- data mining
- intrusion detection and prevention
- artificial immune
- detecting anomalous
- worm detection
- distributed intrusion detection
- machine learning
- computer security
- information security
- communication networks
- network intrusions
- wireless sensor networks
- normal behavior
- fraud detection
- network monitoring
- alert correlation
- dimensionality reduction
- traffic data
- lightweight
- unsupervised learning
- text classification
- classification accuracy
- cyber attacks
- support vector
- information systems