Machine learning for detection of cyberattacks on industrial control systems
Senior executives for industrial systems are increasingly facing the need to reassess their cyber risk as cyberattacks are on a steep rise. This is because of the rapid digitalization of traditional industries, designed to work for decades at a time when security was not a priority. Simultaneously,...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150269 |