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Found 5 papers, 1 papers with code
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
Anomaly detection is critical for the secure and reliable operation of industrial control systems.
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems
As the number of cyber-attacks is increasing, cybersecurity is evolving to a key concern for any business.
An Unsupervised Framework for Anomaly Detection in a Water Treatment System.
Current Cyber-Physical Systems (CPSs) are sophisticated, complex, and equipped with networked sensors and actuators.
Enhanced Cyber-Physical Security through Deep Learning Techniques
Nowadays that various aspects of our lives depend on complex cyber-physical systems, automated anomaly detection, as well as attack prevention and reaction have become of paramount importance and directly affect our security and ultimately our quality of life.
Data Mining model in the discovery of trends and patterns of intruder attacks on the data network as a public-sector innovation
This has been followed by a quantitative assessment of various algorithms of intrusion detection leading to the selection of J48 and REPTree as Data Mining algorithms with a level of insolence in instances properly classified by the lowest absolute error.
