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- W3011648161 abstract "Today with the emergence of an industrial information system in industry of the future which includes the connection between all trades, applications and the converged technologies between information technology and operational technology, cybersecurity has become urgent. Industrial Intrusion Detection System are no longer sufficient to counter cyberattacks because of their natures, which is usually misuse, and are unable to detect attacks that target the application layer of the Open Systems Interconnection model. Therefore, cybersecurity in industrial systems adopts known information technology security solutions, such as an Intrusion Detection System which has to be modified, completed and adapted to work in industrial field. We propose to deepen this approach by developing an adapted IDS to monitor industrial systems against illegitimate access and detect abnormal activities. For this purpose, we expose in this paper our efficient hybrid intrusion detection solution based on International Society of Automation 95 standard and neural network. Our research work is focused on Manufacturing Executive System which represents the central and main element in industry." @default.
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- W3011648161 date "2019-11-01" @default.
- W3011648161 modified "2023-09-27" @default.
- W3011648161 title "A Hybrid Intrusion Detection System in Industry 4.0 Based on ISA95 Standard" @default.
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- W3011648161 doi "https://doi.org/10.1109/aiccsa47632.2019.9035260" @default.
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