24 citations · 40 across the 15 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…