most citedReal-time Cyberattack Detection with Collaborative Learning for Blockchain Networks

6 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CR20246 cited

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…

cs.SE2024

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,…

cs.RO2024

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…

cs.CR2024

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…

eess.SP2023

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…

cs.CR2023

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…