3 citations · 3 across the 4 of their papers we have counts for
5 papers
Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
Abdelaziz Amara korba, Abdelwahab Boualouache, Bouziane Brik +3
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks (5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this contex…
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
Abdelaziz Amara korba, Abdelwahab Boualouache, Yacine Ghamri-Doudane
The Internet of Vehicles (IoV) is a crucial technology for Intelligent Transportation Systems (ITS) that integrates vehicles with the Internet and other entities. The emergence of…
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks
Abdelwahab Boualouache, Thomas Engel
Significant progress has been made towards deploying Vehicle-to-Everything (V2X) technology. Integrating V2X with 5G has enabled ultra-low latency and high-reliability V2X communic…
Software-Defined Location Privacy Protection for Vehicular Networks
Abdelwahab Boualouache, Ridha Soua, Thomas Engel
While the adoption of connected vehicles is growing, security and privacy concerns are still the key barriers raised by society. These concerns mandate automakers and standardizati…
A survey on pseudonym changing strategies for Vehicular Ad-Hoc Networks
Abdelwahab Boualouache, Sidi-Mohammed Senouci, Samira Moussaoui
The initial phase of the deployment of Vehicular Ad-Hoc Networks (VANETs) has begun and many research challenges still need to be addressed. Location privacy continues to be in the…