A survey of ddos attack and defense technologies in multi-access edge computing
Y Ma, L Liu, Z Liu, F Li, Q **e, K Chen… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a novel service paradigm located at the network's
edge, where servers with computation and storage capabilities are placed in proximity to …
edge, where servers with computation and storage capabilities are placed in proximity to …
A novel buffered federated learning framework for privacy-driven anomaly detection in IIoT
Industrial Internet of Things (IIoT) is highly sensitive to data privacy and cybersecurity
threats. Federated Learning (FL) has emerged as a solution for preserving privacy, enabling …
threats. Federated Learning (FL) has emerged as a solution for preserving privacy, enabling …
Multi-model based federated learning against model poisoning attack: A deep learning based model selection for MEC systems
Federated Learning (FL) enables training of a global model from distributed data, while
preserving data privacy. However, the singular-model based operation of FL is open with …
preserving data privacy. However, the singular-model based operation of FL is open with …
Network Security Threats and Defense Mechanisms for 6G Multi‐Virtual Network Scenarios
Y Zhou - International Journal of Network Management, 2025 - Wiley Online Library
The introduction of 6G networks presents substantial challenges for network security,
particularly in multi‐virtual network topologies. The combination of network function …
particularly in multi‐virtual network topologies. The combination of network function …
Entropy and Mobility-Based Model Assignment for Multi-Model Vehicular Federated Learning
Machine Learning (ML) is extensively employed for key functions of Connected and
Autonomous Vehicles (CAVs), where many models are executed simultaneously within a …
Autonomous Vehicles (CAVs), where many models are executed simultaneously within a …