TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach

The Internet of Things (IoT) revolutionizes precision healthcare by enhancing patient care and reducing costs. However, this technology poses challenges in securing Healthcare-IoT (H-IoT) devices, as low-latency packet transmission increases vulnerability to attacks such as Distributed Denial of Service (DDoS) in 5G networks.

This research presents a monitoring frequency-based detection and dynamic threshold mitigation method using Temporal Convolutional Networks (TCNs) in 5G H-IoT environments. The frequency-based detection method calculates each H-IoT node’s message count over the past five seconds as a percentage of total traffic. Additionally, a dynamic threshold strategy provides adaptive security by averaging detected malicious behavior messages across all nodes to determine the base threshold. This approach enhances classification accuracy and effectively mitigates DDoS attack-affected nodes.

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Recommended citation:
Mirza Akhi, Ciarán Eising, and Lubna Luxmi Dhirani. (2025). TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach. IEEE Access.