Deep transfer learning: A novel collaborative learning model for cyberattack detection systems in IoT networks

TV Khoa, DT Hoang, NL Trung… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has recently become an effective approach for cyberattack detection
systems, especially in Internet of Things (IoT) networks. By distributing the learning process …

A blockchain based secure decentralized transaction system for energy trading in microgrids

MHD Khan, J Imtiaz, MNU Islam - IEEE Access, 2023 - ieeexplore.ieee.org
Energy markets are being transformed rapidly all over the world due to an increased
integration of renewable energy sources. Blockchain technology is emerging as a prime …

A Deep Transfer Learning Framework for Robust IoT Attack Detection: A Review

HA Mohammed, IM Husien - Informatica, 2024 - informatica.si
Our lives have been significantly altered due to the digital revolution, and the Internet of
Things (IoT) has played a significant part in this transformation. However, the fast expansion …

Balancing security and accuracy: A novel federated learning approach for cyberattack detection in blockchain networks

TV Khoa, MA Alsheikh, Y Alem, DT Hoang - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents a novel Collaborative Cyberattack Detection (CCD) system aimed at
enhancing the security of blockchain-based data-sharing networks by addressing the …

PBFL: A Privacy-Preserving Blockchain-Based Federated Learning Framework With Homomorphic Encryption and Single Masking

B Han, B Li, R Jurdak, P Zhang, H Zhang… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
Federated Learning (FL) has emerged as a promising paradigm for secure data sharing in
Industrial Internet of Things (IIoT), enabling collaborative model training without direct …

Securing IoMT healthcare systems with federated learning and BigchainDB

M Jafari, F Adibnia - Future Generation Computer Systems, 2025 - Elsevier
Abstract The Internet of Medical Things (IoMT) is transforming healthcare by allowing the
storage of patient data for diagnostics and treatment. However, this technology faces …

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption

BD Manh, CH Nguyen, DT Hoang… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
This work proposes a novel privacy-preserving cyberattack detection framework for
blockchain-based Internet-of-Things (IoT) systems. In our approach, artificial intelligence (AI) …

Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains

DH Son, BD Manh, TV Khoa, NL Trung… - 2024 23rd …, 2024 - ieeexplore.ieee.org
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 …

Federated Learning for Cyberattack Detection in Decentralized Networks

VK Tran - 2024 - opus.lib.uts.edu.au
Recently, the rapid development of various technologies, such as blockchain and Internet-of-
Things (IoT), has enabled numerous applications to become integral to many aspects of our …

Enhancing Edge Computing Security: Advanced Machine Learning Strategies for Malicious Task Detection

M Aljumaie, H Dinh, D Nguyen - Available at SSRN 4868314 - papers.ssrn.com
The rapid increase in various cyberattacks targeting mobile task offloading continues to
pose significant challenges for mobile edge computing networks. However, current intrusion …