5 papers
Vision-Based Learning for Cyberattack Detection in Blockchain Smart Contracts and Transactions
Do Hai Son, Le Vu Hieu, Tran Viet Khoa +5
Blockchain technology has experienced rapid growth and has been widely adopted across various sectors, including healthcare, finance, and energy. However, blockchain platforms rema…
Privacy-Preserving Driver Drowsiness Detection with Spatial Self-Attention and Federated Learning
Tran Viet Khoa, Do Hai Son, Mohammad Abu Alsheikh +2
Driver drowsiness is one of the main causes of road accidents and is recognized as a leading contributor to traffic-related fatalities. However, detecting drowsiness accurately rem…
End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +4
Full 3D human pose reconstruction is a critical enabler for extended reality (XR) applications in future sixth generation (6G) networks, supporting immersive interactions in gaming…
Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks
Tran Viet Khoa, Mohammad Abu Alsheikh, Yibeltal Alem +1
This paper presents a novel Collaborative Cyberattack Detection (CCD) system aimed at enhancing the security of blockchain-based data-sharing networks by addressing the complex cha…
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…