24 citations · 120 across the 64 of their papers we have counts for
7 papers · 1 filter
Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning
Samira Kamali Poorazad, Chafika Benzaïd, Tarik Taleb
In the light of the growing connectivity and sensitivity of industrial data, cyberattacks and data breaches are becoming more common in the Industrial Internet of Things (IIoT). To…
Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs
Mojdeh Karbalaee Motalleb, Chafika Benzaid, Tarik Taleb +3
The evolution of wireless communication systems will be fundamentally impacted by an open radio access network (O-RAN), a new concept defining an intelligent architecture with enha…
A Novel Buffered Federated Learning Framework for Privacy-Driven Anomaly Detection in IIoT
Samira Kamali Poorazad, Chafika Benzaid, Tarik Taleb
Industrial Internet of Things (IIoT) is highly sensitive to data privacy and cybersecurity threats. Federated Learning (FL) has emerged as a solution for preserving privacy, enabli…
Blockchain and Deep Learning-Based IDS for Securing SDN-Enabled Industrial IoT Environments
Samira Kamali Poorazad, Chafika Benzaıd, Tarik Taleb
The industrial Internet of Things (IIoT) involves the integration of Internet of Things (IoT) technologies into industrial settings. However, given the high sensitivity of the indu…
Moving Target Defense based Secured Network Slicing System in the O-RAN Architecture
Mojdeh Karbalaee Motalleb, Chafika Benzaïd, Tarik Taleb +1
The open radio access network (O-RAN) architecture's native virtualization and embedded intelligence facilitate RAN slicing and enable comprehensive end-to-end services in post-5G…
AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler?
C. Benzaid, T. Taleb
Artificial Intelligence (AI) is envisioned to play a pivotal role in empowering intelligent, adaptive and autonomous security management in 5G and beyond networks, thanks to its po…