24 citations · 32 across the 6 of their papers we have counts for
6 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…
Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
Trinh Ngoc Huynh, Nguyen Duc Kien, Nguyen Hai Anh +8
We present InfoVAE-Med3D, a latent-representation learning approach for 3D brain MRI that targets interpretable biomarkers of cognitive decline. Standard statistical models and sha…
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…
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…