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An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model

journal contribution

posted on 2021-04-01, 00:00 authored by M M Hassan, Shamsul HudaShamsul Huda, Shaila Sharmeen, Jemal AbawajyJemal Abawajy, G Fortino

An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model

History

Journal

IEEE Transactions on Industrial Informatics

Volume

17

Issue

4

Pagination

2860 - 2870

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publisher DOI

https://doi.org/10.1109/TII.2020.3015026

ISSN

1551-3203

eISSN

1941-0050

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000607814600055&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

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Keywords

Science & Technology Technology Automation & Control Systems Computer Science, Interdisciplinary Applications Engineering, Industrial Computer Science Engineering Cyberattack models deep learning IIoT industrial control system protocol vulnerabilities secure DNP3.0 semisupervised model trust boundary protection Semi-supervised model

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All Rights Reserved

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