activity
20232026
most citedReal-time Cyberattack Detection with Collaborative Learning for Blockchain Networks

6 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Goal-oriented Resource Allocation for Collaborative Integrated Sensing and Communication

Trong Duy Tran, Maxime Ferreira Da Costa, Salah Eddine Elayoubi +1

In this paper, we consider resource allocation for a collaborative integrated sensing and communication (ISAC) scenario, in which distributed smart devices can be scheduled to perf…

cs.CR2024

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…

cs.CR2024★ 6 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.IT2023★ 1 cited

Securing MIMO Wiretap Channel with Learning-Based Friendly Jamming under Imperfect CSI

Bui Minh Tuan, Diep N. Nguyen, Nguyen Linh Trung +5

Wireless communications are particularly vulnerable to eavesdropping attacks due to their broadcast nature. To effectively deal with eavesdroppers, existing security techniques usu…

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…