Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems

Research article (Journal of Network and Computer Applications, 2024) · cited 22× · AI/ML
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Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems

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Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/synthetic-and-privacy-preserving-traffic-trace-generation-using-generative-ai-models-for-training-network-intrusion-dete
MLA “Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/synthetic-and-privacy-preserving-traffic-trace-generation-using-generative-ai-models-for-training-network-intrusion-dete.
BibTeX @misc{4ortxyz_synthetic-and-privacy-preserving-traffic-trace-generation-using-generative-ai-models-for-training-network-intrusion-dete_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems}}, year = {2026}, url = {https://4ort.xyz/entity/synthetic-and-privacy-preserving-traffic-trace-generation-using-generative-ai-models-for-training-network-intrusion-dete}, note = {Accessed: 2026-05-24}}
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