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Many cybersecurity problems that require real-time decision-making based on temporal observations can be abstracted as a sequence modeling problem, e.g., network intrusion detection from a sequence of arriving packets.
Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot
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Offline reinforcement learning: Tutorial, review, and perspectives on open problems
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Dynamic Heterogeneous Learning Games for Opportunistic Access in LTE-Based Macro/Femtocell Deployments
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UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
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Attention is all you need
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Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets
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