activity
20152023
most citedDistributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach

48 citations · 117 across the 16 of their papers we have counts for

collaborators

26 papers

eess.SP2024

A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing

Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen

The ability to estimate 3D movements of users over edge computing-enabled networks, such as 5G/6G networks, is a key enabler for the new era of extended reality (XR) and Metaverse…

cs.CR2024

Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks

Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang +1

This paper aims to propose a novel framework to address the data privacy issue for Federated Learning (FL)-based Intrusion Detection Systems (IDSs) in Internet-of-Vehicles(IoVs) wi…

cs.CR2024

Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains

Do Hai Son, Bui Duc Manh, Tran Viet Khoa +5

Blockchain-based supply chain (BSC) systems have tremendously been developed recently and can play an important role in our society in the future. In this study, we develop an anom…

cs.CR20246 cited

Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks

Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang +5

With the ever-increasing popularity of blockchain applications, securing blockchain networks plays a critical role in these cyber systems. In this paper, we first study cyberattack…

cs.RO202412 cited

Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities

Guangyuan Liu, Nguyen Van Huynh, Hongyang Du +7

With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms have received great attention from both academia and industry due to their potential to p…

cs.LG2024

CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins

Mohammad, Jamshidi, Dinh Thai Hoang +1

Digital twins (DTs) are revolutionizing the biotechnology industry by enabling sophisticated digital representations of biological assets, microorganisms, drug development processe…