An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model
Version 2 2024-06-04, 04:37
Version 1 2021-04-01, 00:00
journal contribution
posted on 2024-06-04, 04:37 authored by MM Hassan, Shamsul HudaShamsul Huda, S Sharmeen, Jemal AbawajyJemal Abawajy, G FortinoAn Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model
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Location
Piscataway, N.J.Language
EnglishNotes
Early Access ArticlePublication classification
C1 Refereed article in a scholarly journalJournal
IEEE Transactions on Industrial InformaticsVolume
17Pagination
2860-2870ISSN
1551-3203eISSN
1941-0050Issue
4Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyAutomation & Control SystemsComputer Science, Interdisciplinary ApplicationsEngineering, IndustrialComputer ScienceEngineeringCyberattack modelsdeep learningIIoTindustrial control systemprotocol vulnerabilitiessecure DNP3.0semisupervised modeltrust boundary protection4606 Distributed computing and systems software4611 Machine learning
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