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.
citing papers explorer
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Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
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.
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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.