A deep learning-based adaptive cyber disaster management framework
Abstract The prevalence of cybersecurity incidents targeting Industrial Control Systems (ICS) in critical national infrastructure sectors has alarmingly risen. Given ICS’s cyber-physical nature, cyber incidents, directly and indirectly, affect public health, social stability, environmental quality,...
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| Main Authors: | Nataliia Neshenko, Elias Bou-Harb, Borko Furht, Milad Baghersad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
|
| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01241-3 |
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