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A Cloud-Edge Computing Approach for Epidemic Close Contact Tracing Based on Spatial-Temporal Trajectory
2024 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT)
Year: 2024 | Conference Paper |
Contact tracing, as an effective method to slow the spread of epidemics, is traditionally performed with manual surveys on positive cases to acquire information about close contacts, which induces an unbearably long tracing duration. In this paper, we propose a cloud-edge computing-aided contact tracing system where multi-access edge computing (MEC) servers are introduced to collaborate with the c...Show More
Design of Cloud-Edge-Gateway Collaborative Zero-Trust Architecture and Workflow for Smart Factories
2024 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT)
Year: 2024 | Conference Paper |
Zero-trust architecture (ZTA) has been viewed as a powerful security framework to deal with the increasingly complex network environment and connection exposure in high-risk environments. Since the standard ZTA was established in 2020, a large amount of research works have been carried out on ZTA. However, the centralized ZTA established by companies such as Huawei has the problem of single point ...Show More
Multi-Dimensional Security Indicator Design and Optimization for DDoS Detection in Edge Computing
2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Year: 2023 | Conference Paper |
Edge computing has been viewed as a powerful technology to realize the vision of network services. However, due to the limited capabilities and insufficient security systems, edge computing is vulnerable to distributed denial of service (DDoS) attacks which may exhaust the resources of edge servers with excessive requests and degrade their service capabilities. Setting detection thresholds for DDo...Show More
Deep Learning Method for Path Loss Prediction in Mobile Communication Systems
Zhuocheng Xu;Huiyun Cao;Yue Yin;Xiaohan Zhang;Lina Wu;Danping He;Yuanbo Wang
2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE)
Year: 2021 | Conference Paper |
The study of wireless channel propagation characteristics is important to channel availability analysis and wireless network optimization. The existing deterministic channel models are greatly restricted by the high complexity. This paper proposes a deep learning (DL) method for path loss (PL) prediction in mobile communication systems, which uses satellite images and neural network (NN) to achiev...Show More
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