Federated Deep Learning for Collaborative Intrusion Detection in Heterogeneous Networks.
Segun I. PopoolaGuan GuiBamidele AdebisiMohammad HammoudehHaris GacaninPublished in: VTC Fall (2021)
Keyphrases
- intrusion detection
- deep learning
- heterogeneous networks
- intrusion detection system
- anomaly detection
- unsupervised learning
- network traffic
- network security
- machine learning
- multiple types
- mental models
- data mining techniques
- weakly supervised
- data mining
- computer networks
- data sources
- communication networks
- social networks
- link prediction
- high dimensional
- reinforcement learning
- distributed systems