The authors release NetFlow datasets augmented with temporal features, conduct time-series analysis of feature distributions, and apply time-frequency analysis showing unique patterns for different network attacks.
A survey of network-based intrusion detection data sets
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A structured literature survey categorizing generative AI (autoencoders, GANs, diffusion models, LLMs) and federated learning uses in IDS, covering tasks like synthetic data generation and anomaly detection plus open challenges.
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Generative AI and Federated Learning for Intrusion Detection Systems: A Survey
A structured literature survey categorizing generative AI (autoencoders, GANs, diffusion models, LLMs) and federated learning uses in IDS, covering tasks like synthetic data generation and anomaly detection plus open challenges.