167 citations · 531 across the 87 of their papers we have counts for
15 papers · 1 filter
Secure and Efficient UAV-Based Face Detection via Homomorphic Encryption and Edge Computing
Nguyen Van Duc, Bui Duc Manh, Quang-Trung Luu +3
This paper aims to propose a novel machine learning (ML) approach incorporating Homomorphic Encryption (HE) to address privacy limitations in Unmanned Aerial Vehicles (UAV)-based f…
Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang +3
This work proposes a novel privacy-preserving cyberattack detection framework for blockchain-based Internet-of-Things (IoT) systems. In our approach, artificial intelligence (AI)-d…
Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang +1
This paper aims to propose a novel framework to address the data privacy issue for Federated Learning (FL)-based Intrusion Detection Systems (IDSs) in Internet-of-Vehicles(IoVs) wi…
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…
Teacher-free Latent Self-distillation and Class-separable Representations for Lightweight IoT Attack Detection
Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang +4
Knowledge distillation (KD) has been widely used to improve lightweight AI models by transferring soft-label knowledge from a large teacher model to a student model. However, exist…
Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study
Cong T. Nguyen, Yinqiu Liu, Hongyang Du +4
Generative Artificial Intelligence (GAI) has recently emerged as a promising solution to address critical challenges of blockchain technology, including scalability, security, priv…