An adaptive trust boundary protection for IIoT networks using deep-learning feature extraction based semi-supervised model

Hassan, Mohammad Mehedi, Huda, Shamsul, Sharmeen, Shaila, Abawajy, Jemal and Fortino, Giancarlo 2020, An adaptive trust boundary protection for IIoT networks using deep-learning feature extraction based semi-supervised model, IEEE Transactions on Industrial Informatics, pp. 1-10, doi: 10.1109/tii.2020.3015026.

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Title An adaptive trust boundary protection for IIoT networks using deep-learning feature extraction based semi-supervised model
Author(s) Hassan, Mohammad Mehedi
Huda, ShamsulORCID iD for Huda, Shamsul orcid.org/0000-0001-7848-0508
Sharmeen, ShailaORCID iD for Sharmeen, Shaila orcid.org/0000-0001-8962-1222
Abawajy, Jemal
Fortino, Giancarlo
Journal name IEEE Transactions on Industrial Informatics
Start page 1
End page 10
Total pages 10
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 1551-3203
1941-0050
Keyword(s) IIoT
Industrial control system
Trust boundary protection
Cyberattack models
protocol vulnerabilities
Secure DNP3.0
Deep learning
Semi-supervised model
Notes Early Access Article
Language eng
DOI 10.1109/tii.2020.3015026
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30140697

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