Proposes an AI-driven synthetic data generation framework to create realistic cybersecurity datasets for smart city research where real data is scarce or sensitive.
Employing generative adversarial networks for secure and reliable synthetic data generation in cyber security applications,
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2026 1verdicts
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Bridging the Smart City Cybersecurity Data Gap Through AI-Driven Synthetic Dataset Generation
Proposes an AI-driven synthetic data generation framework to create realistic cybersecurity datasets for smart city research where real data is scarce or sensitive.