24 citations · 32 across the 7 of their papers we have counts for
7 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…
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,…
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…
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks
Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung +5
Federated Learning (FL) has recently become an effective approach for cyberattack detection systems, especially in Internet-of-Things (IoT) networks. By distributing the learning p…