3 papers
cs.CR2024
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…
cs.CR2024
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…
cs.CR2024
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…