24 citations · 40 across the 15 of their papers we have counts for
15 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…
Robust Sparse Subspace Tracking from Corrupted Data Observations
Ta Giang Thuy Loan, Hoang-Lan Nguyen, Nguyen Thi Ngoc Lan +5
Subspace tracking is a fundamental problem in signal processing, where the goal is to estimate and track the underlying subspace that spans a sequence of data streams over time. In…
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…
RACNN: Residual Attention Convolutional Neural Network for Near-Field Channel Estimation in 6G Wireless Communications
Vu Tung Lam, Do Hai Son, Tran Thi Thuy Quynh +1
Near-field channel estimation is a fundamental challenge in the sixth-generation (6G) wireless communication, where extremely large antenna arrays (ELAA) enable near-field communic…
ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
Do Hai Son, Vu Tung Lam, Tran Thi Thuy Quynh
Massive Multiple-Input Multiple-Output (massive MIMO) technology stands as a cornerstone in 5G and beyonds. Despite the remarkable advancements offered by massive MIMO technology,…
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…
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…
W2E (Workout to Earn): A Low Cost DApp based on ERC-20 and ERC-721 standards
Do Hai Son, Nguyen Danh Hao, Tran Thi Thuy Quynh +1
Decentralized applications (DApps) have gained prominence with the advent of blockchain technology, particularly Ethereum, providing trust, transparency, and traceability. However,…
Uoc luong kenh truyen trong he thong da robot su dung SDR
Do Hai Son, Nguyen Huu Hung, Pham Duy Hung +1
This study focuses on developing an experimental system for estimating communication channels in a multi-robot mobile system using software-defined radio (SDR) devices. The system…
RANDAO-based RNG: Last Revealer Attacks in Ethereum 2.0 Randomness and a Potential Solution
Do Hai Son, Tran Thi Thuy Quynh, Le Quang Minh
Ethereum 2.0 is a major upgrade to improve its scalability, throughput, and security. In this version, RANDAO is the scheme to randomly select the users who propose, confirm blocks…
On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems
Do Hai Son, Karim Abed-Meraim, Tran Trong Duy +2
Minimizing training overhead in channel estimation is a crucial challenge in wireless communication systems. This paper presents an extension of the traditional blind algorithm, ca…
Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
Tran Viet Khoa, Do Hai Son, Chi-Hieu Nguyen +8
With the escalating prevalence of malicious activities exploiting vulnerabilities in blockchain systems, there is an urgent requirement for robust attack detection mechanisms. To a…
Impact Analysis of Antenna Array Geometry on Performance of Semi-blind Structured Channel Estimation for massive MIMO-OFDM systems
Do Hai Son, Tran Thi Thuy Quynh
Channel estimation is always implemented in communication systems to overcome the effect of interference and noise. Especially, in wireless communications, this task is more challe…
An Effective Framework of Private Ethereum Blockchain Networks for Smart Grid
Do Hai Son, Tran Thi Thuy Quynh, Tran Viet Khoa +6
A smart grid is an important application in Industry 4.0 with a lot of new technologies and equipment working together. Hence, sensitive data stored in the smart grid is vulnerable…
Collaborative Learning for Cyberattack Detection in Blockchain Networks
Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang +5
This article aims to study intrusion attacks and then develop a novel cyberattack detection framework to detect cyberattacks at the network layer (e.g., Brute Password and Flooding…