Deep learning-based intrusion detection for IoT networks

Ge, Mengmeng, Fu, Xiping, Syed, Naeem, Baig, Zubair, Teo, Gideon and Robles-Kelly, Antonio 2019, Deep learning-based intrusion detection for IoT networks, in PRDC 2019 : Proceedings of the 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 256-265, doi: 10.1109/prdc47002.2019.00056.

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Title Deep learning-based intrusion detection for IoT networks
Author(s) Ge, MengmengORCID iD for Ge, Mengmeng orcid.org/0000-0003-2869-4203
Fu, Xiping
Syed, Naeem
Baig, ZubairORCID iD for Baig, Zubair orcid.org/0000-0002-9245-2703
Teo, Gideon
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Conference name IEEE Computer Society. International Symposium (24th : 2019 : Kyoto, Japan)
Conference location Kyoto, Japan
Conference dates 2019/12/01 - 2019/12/03
Title of proceedings PRDC 2019 : Proceedings of the 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing
Editor(s) [Unknown]
Publication date 2019
Series IEEE Computer Society International Symposium
Start page 256
End page 265
Total pages 10
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Internet of Things
Intrusion Detection
Feed Forward Neural Networks
Denial of Service Attacks
ISBN 978-1-7281-4961-5
Language eng
DOI 10.1109/prdc47002.2019.00056
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133560

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