A systematic literature review that maps metaheuristic algorithms to ML-based intrusion detection systems in IoT, with separate analysis of feature selection, parameter tuning, and hybrid applications plus a proposed taxonomy.
Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set)
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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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A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
A systematic literature review that maps metaheuristic algorithms to ML-based intrusion detection systems in IoT, with separate analysis of feature selection, parameter tuning, and hybrid applications plus a proposed taxonomy.
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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.