2022 6th International Conference on Computing, Communication, Control and Automation (ICCUBEA 2022
DOI: 10.1109/iccubea54992.2022.10010717
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Deep Learning Model for Cybersecurity Attack Detection in Cyber-Physical Systems

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Cited by 3 publications
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“…To detect and reduce malicious activity in the IoT, XGBoost techniques have been proposed by Gad et al [13]. Furthermore, a DL model based on long-and short-term memories (LSTM) was used to detect cyberattacks in CPSs [14].…”
Section: Introductionmentioning
confidence: 99%
“…To detect and reduce malicious activity in the IoT, XGBoost techniques have been proposed by Gad et al [13]. Furthermore, a DL model based on long-and short-term memories (LSTM) was used to detect cyberattacks in CPSs [14].…”
Section: Introductionmentioning
confidence: 99%