EUVD-2024-49786

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EUVD-2023-23807

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EUVD-2024-1647

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EUVD-2025-7031

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EUVD-2022-5545

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EUVD-2023-34943

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EUVD-2022-6273

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EUVD-2023-26945

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EUVD-2024-46387

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EUVD-2024-1902

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EUVD-2024-39193

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EUVD-2023-39845

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EUVD-2024-0494

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EUVD-2024-46385

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EUVD-2025-7114

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EUVD-2024-46386

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EUVD-2024-47985

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EUVD-2023-3144

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A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks

The growing integration of drones across commercial, industrial, and civilian domains has introduced significant cybersecurity challenges, particularly due to the susceptibility of drone networks to a wide range of cyberattacks. Existing intrusion detection mechanisms often lack the adaptability,...

CST-AFNet: A Dual Attention-Based Deep Learning Framework for Intrusion Detection in IoT Networks

The rapid expansion of the Internet of Things IoT has revolutionized modern industries by enabling smart automation and real time connectivity. However, this evolution has also introduced complex cybersecurity challenges due to the heterogeneous, resource constrained, and distributed nature of...