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DeL-IoT: A Deep Ensemble Learning Approach to Uncover Anomalies in IoT
- Source :
- Internet of Things; 20210101, Issue: Preprints
- Publication Year :
- 2021
-
Abstract
- •Proposed deep ensemble learning for SDN-enabled IoT anomaly detection.•Controller-level deployment of learned model makes proposed system efficient and reliable.•Introduced an IoT device forecasting mechanism for early anomalies.•Systematic and extensive experimental analysis made using IoT testbed and benchmark datasets.
Details
- Language :
- English
- ISSN :
- 25431536 and 25426605
- Issue :
- Preprints
- Database :
- Supplemental Index
- Journal :
- Internet of Things
- Publication Type :
- Periodical
- Accession number :
- ejs55581649
- Full Text :
- https://doi.org/10.1016/j.iot.2021.100391