Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks

Research article (2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019) · cited 12× · AI/ML
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Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks

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Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-efficient-anomaly-detection-for-securing-process-control-systems-against-injection-attacks
MLA “Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-based-efficient-anomaly-detection-for-securing-process-control-systems-against-injection-attacks.
BibTeX @misc{4ortxyz_deep-learning-based-efficient-anomaly-detection-for-securing-process-control-systems-against-injection-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-efficient-anomaly-detection-for-securing-process-control-systems-against-injection-attacks}, note = {Accessed: 2026-05-24}}
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