709 citations · 2.7k across the 86 of their papers we have counts for
15 papers · 1 filter
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services
Hongyang Du, Dusit Niyato, Jiawen Kang +4
Generative AI (GAI) models have been rapidly advancing, with a wide range of applications including intelligent networks and mobile AI-generated content (AIGC) services. Despite th…
Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses
Jiawen Kang, Jiayi He, Hongyang Du +4
For vehicular metaverses, one of the ultimate user-centric goals is to optimize the immersive experience and Quality of Service (QoS) for users on board. Semantic Communication (Se…
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges
Chuan Chen, Yuecheng Li, Zhenpeng Wu +5
Metaverse, the core of the next-generation Internet, is a computer-generated holographic digital environment that simultaneously combines spatio-temporal, immersive, real-time, sus…
Building Resilient Web 3.0 with Quantum Information Technologies and Blockchain: An Ambilateral View
Xiaoxu Ren, Minrui Xu, Dusit Niyato +4
Web 3.0 pursues the establishment of decentralized ecosystems based on blockchain technologies to drive the digital transformation of physical commerce and governance. Through cons…
Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networks
Yinqiu Liu, Hongyang Du, Dusit Niyato +6
The rapid development of Artificial IntelligenceGenerated Content (AIGC) has brought daunting challenges regarding service latency, security, and trustworthiness. Recently, researc…
A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0
Yijing Lin, Zhipeng Gao, Hongyang Du +4
Web 3.0 enables user-generated contents and user-selected authorities. With decentralized wireless edge computing architectures, Web 3.0 allows users to read, write, and own conten…
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication
Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim +4
Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured semantic information communication (QKD-SIC). In QKD-SIC system…
Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study
Minrui Xu, Dusit Niyato, Zehui Xiong +4
In the upcoming 6G era, existing terrestrial networks have evolved toward space-air-ground integrated networks (SAGIN), providing ultra-high data rates, seamless network coverage,…
Understanding Security in Smart City Domains From the ANT-centric Perspective
Jiani Fan, Wenzhuo Yang, Ziyao Liu +4
A city is a large human settlement that serves the people who live there, and a smart city is a concept of how cities might better serve their residents through new forms of techno…
Securing Federated Learning: A Covert Communication-based Approach
Yuan-Ai Xie, Jiawen Kang, Dusit Niyato +4
Federated Learning Networks (FLNs) have been envisaged as a promising paradigm to collaboratively train models among mobile devices without exposing their local privacy data. Due t…
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
Jiawen Kang, Zehui Xiong, Chunxiao Jiang +6
The emerging Federated Edge Learning (FEL) technique has drawn considerable attention, which not only ensures good machine learning performance but also solves "data island" proble…
A Secure Federated Learning Framework for 5G Networks
Yi Liu, Jialiang Peng, Jiawen Kang +3
Federated Learning (FL) has been recently proposed as an emerging paradigm to build machine learning models using distributed training datasets that are locally stored and maintain…
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost
Yang Zhao, Jun Zhao, Jiawen Kang +3
An increasing amount of users' sensitive information is now being collected for analytics purposes. To protect users' privacy, differential privacy has been widely studied in the l…
Reliable Federated Learning for Mobile Networks
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
Federated learning, as a promising machine learning approach, has emerged to leverage a distributed personalized dataset from a number of nodes, e.g., mobile devices, to improve pe…
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
In Internet of Vehicles (IoV), data sharing among vehicles is essential to improve driving safety and enhance vehicular services. To ensure data sharing security and traceability,…