6TiSCH IIoT Network: A Review

Y Zhang, H Huang, Q Huang, Y Han - Computer Networks, 2024 - Elsevier
Abstract Low-power and Lossy Networks (LLN) constitute an interconnected network of
numerous resource-constrained nodes, forming a wireless mesh network. The Time slotted …

Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing

Z Abou El Houda, H Moudoud, B Brik… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITSs) are transforming the global monitoring of road
safety. These systems, including vehicular networks and transportation infrastructure, are …

Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN

Z Abou El Houda, H Moudoud… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Open RAN (ORAN or O-RAN) revolutionizes Radio Access Networks (RAN) by offering
flexibility and cost-efficiency through inter-vendor equipment interoperability. More …

IoV-BCFL: An intrusion detection method for IoV based on blockchain and federated learning

N Xie, C Zhang, Q Yuan, J Kong, X Di - Ad Hoc Networks, 2024 - Elsevier
In recent years, Internet of Vehicles (IoV) is in a booming stage. But at the same time, the
methods of attack against IoV such as Denial of Service (DoS) and deception are great …

Reputation-Aware Scheduling for Secure Internet of Drones: A Federated Multi-Agent Deep Reinforcement Learning Approach

H Moudoud, Z Abou El Houda… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
The rapid integration of unmanned aerial vehicles (UAVs) into the Internet of Things (IoT)
has paved the way for the Internet of Drones (IoD). Leveraging advanced technologies …

Blockchain Meets O-RAN: A Decentralized Zero-Trust Framework for Secure and Resilient O-RAN in 6G and Beyond

Z Abou El Houda, H Moudoud… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
O-RAN (Open Radio Access Network) is an initiative that promotes the development of open
and interoperable radio access technologies. The O-RAN Alliance has undertaken …

Trustworthy federated learning: privacy, security, and beyond

C Chen, J Liu, H Tan, X Li, KIK Wang, P Li… - … and Information Systems, 2024 - Springer
While recent years have witnessed the advancement in big data and artificial intelligence, it
is of much importance to safeguard data privacy and security. As an innovative approach …

Federated Learning for 6G Networks: Navigating Privacy Benefits and Challenges

C Sandeepa, E Zeydan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The upcoming 6G networks aim for fully automated, intelligent network functionalities and
services. Therefore, ML is essential for these networks. Given stringent privacy regulations …

BDLT-IoMT—a novel architecture: SVM machine learning for robust and secure data processing in Internet of Medical Things with blockchain cybersecurity

AA Khan, AA Laghari, AM Baqasah, R Bacarra… - The Journal of …, 2025 - Springer
The integration of artificial intelligence (AI) has caused information and communication
technology (ICT) to undergo a number of recent rapid fluctuations. These changes have …

Federated Learning for Privacy Preserving Intrusion Detection in Software Defined Networks

M Raza, MJ Saeed, MB Riaz, MA Sattar - IEEE Access, 2024 - ieeexplore.ieee.org
Software-defined networking (SDN) is an innovative network technology. It changed the
world of computer networking by providing solutions to many challenges. SDN provides …