activity
20182026
most citedA Survey on Metaverse: Fundamentals, Security, and Privacy

1.3k citations · 2.2k across the 32 of their papers we have counts for

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Showing cs.NIShow all

9 papers · 1 filter

cs.NI2025

Digital Twin-Driven Secure Access Strategy for SAGIN-Enabled IoT Networks

Hui Liang, Zhihui Wu, Runqi Yuan +4

In space-air-ground integrated networks (SAGIN)-enabled IoT networks, secure access has become a significant challenge due to the increasing risks of eavesdropping attacks. To addr…

cs.NI2025★ 1 cited

Agent Discovery in Internet of Agents: Challenges and Solutions

Shaolong Guo, Yuntao Wang, Zhou Su +3

Rapid advances in large language models and agentic AI are driving the emergence of the Internet of Agents (IoA), a paradigm where billions of autonomous software and embodied agen…

cs.NI2024★ 4 cited

A Survey on Semantic Communication Networks: Architecture, Security, and Privacy

Shaolong Guo, Yuntao Wang, Ning Zhang +5

With the rapid advancement and deployment of intelligent agents and artificial general intelligence (AGI), a fundamental challenge for future networks is enabling efficient communi…

cs.NI2022★ 7 cited

Cybertwin-enabled 6G Space-air-ground Integrated Networks: Architecture, Open Issue, and Challenges

Zhisheng Yin, Tom H. Luan, Nan Cheng +2

Space-air-ground integrated network (SAGIN) is considered as a core requirement in emerging 6G networks, which integrates the terrestrial and non-terrestrial networks to reach the…

cs.NI2021★ 14 cited

Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles

Jinkai Zheng, Tom H. Luan, Longxiang Gao +2

Mobile edge computing has become an effective and fundamental paradigm for futuristic autonomous vehicles to offload computing tasks. However, due to the high mobility of vehicles,…

cs.NI2021★ 3 cited

Futuristic Intelligent Transportation System

Yilong Hui, Zhou Su, Tom H. Luan +1

The emerging autonomous vehicles (AVs) will inevitably revolutionize the transportation systems. This is because of a key feature of AVs; instead of being managed by human drivers…