Semi-supervised machine learning for primary user emulation attack detection and prevention through core-based analytics for cognitive radio networks.
Sundar SrinivasanK. B. ShivaKumarMohammad MuazzamPublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- machine learning
- semi supervised
- attack detection
- cognitive radio networks
- user centric
- semi supervised learning
- data analysis
- product recommendation
- supervised learning
- feature selection
- multistage
- data mining
- active learning
- learning analytics
- cognitive radio
- information systems
- spectrum sensing
- social media
- collaborative filtering