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DeL-IoT: A Deep Ensemble Learning Approach to Uncover Anomalies in IoT

Authors :
Tsogbaatar, Enkhtur
Bhuyan, Monowar H.
Taenaka, Yuzo
Fall, Doudou
Gonchigsumlaa, Khishigjargal
Elmroth, Erik
Kadobayashi, Youki
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