UTILIZING A UNIQUE DEEP LEARNING TECHNIQUE FOR DETECTING ANOMALIES IN INDUSTRIAL AUTOMATION SYSTEMS
Industrial automation systems (IASs) are utilized in vital facilities to sustain society's fundamental services. As a consequence, protecting them against terrorist operations, natural catastrophes and cyber-threats is essential. The research on techniques for identifying cyber-attacks in IAS e...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kragujevac
2024-03-01
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| Series: | Proceedings on Engineering Sciences |
| Subjects: | |
| Online Access: | https://pesjournal.net/journal/v6-n1/27.pdf |