Dr. Abdelwahab BOUALOUACHE
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| Fakultät oder Zentrum | Fakultät für Naturwissenschaften, Technologie und Medizin | ||||
| Department | Fachbereich Informatik | ||||
| Postadresse |
Université du Luxembourg Maison du Nombre 6, Avenue de la Fonte L-4364 Esch-sur-Alzette |
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| Büroadresse | MNO, E04 0445-070 | ||||
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| Telefon | (+352) 46 66 44 5840 | ||||
Abdelwahab Boualouache is a research associate at the Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg. He was an Associate Professor with the University of Sciences and Technology Houari Boumediene (USTHB), Algiers, Algeria. He received the M.Sc. degree in computer science from USTHB University, in 2014, and the Ph.D. degree in computer science from the same university, in 2016. From 2015 to 2016, he was a visiting researcher at the Drive Laboratory, University of Burgundy, France. He has a strong track record of conducting high-quality research for Cooperative Intelligent Transportation Systems in various EU and bilateral projects such as 5G-DRIVE, 5G-MOBIX, and 5G-INSIGHT. He has also demonstrated research excellence by publishing more than 30 research papers in premium journals and conferences. He has acquired solid skills and knowledge in networking, machine/deep learning, and cloud-native computing. He has served as a TPC member of many conferences such as IEEE ICC, IEEE GLOBECOM, IEEE WCNC and WF-5G. He has also served as a reviewer for many prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Network Magazine, and IEEE/ACM Transactions on Networking. His research covers security and privacy in the area of mobile and wireless networks, mainly focusing on topics related to 5G and beyond cellular networks. He is currently focusing on security and privacy in 5G and beyond V2X for Connected and Automated Vehicles.
Last updated on: Montag, den 15. Mai 2023
2023
A Survey on Privacy-preserving Electronic Toll Collection Schemes for Intelligent Transportation Systems; ; ; ;
in IEEE Transactions on Intelligent Transportation Systems (2023)
On-Demand Security Framework for 5GB Vehicular Networks; ; ;
in IEEE Internet of Things Magazine (2023)
Assessing the Impact of Attacks on an Automotive Ethernet Time Synchronization Testbed; ; ; ; ;
in Fotouhi, Mahdi; Buscemi, Alessio; Boualouache, Abdelwahab; Jomrich, Florian; Koebel, Christian; Engel, Thomas (Eds.) 2023 IEEE Vehicular Networking Conference (VNC), Istanbul 26-28 April 2023 (2023, April)
A Lightweight 5G-V2X Intra-slice Intrusion Detection System Using Knowledge Distillation; ; ;
in A Lightweight 5G-V2X Intra-slice Intrusion Detection System Using Knowledge Distillation (2023, May)
2022
5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities; ; ; ; ; ; ; ; ;
in IEEE Internet of Things Journal (2022)
Deep Learning-based Intra-slice Attack Detection for 5G-V2X Sliced Networks; ; ; ;
in 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) (2022, August 25)
A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks;
in IEEE Communications Surveys and Tutorials (2022)
Federated Learning-based Inter-slice Attack Detection for 5G-V2X Sliced Networks;
in Boualouache, Abdelwahab; Engel, Thomas (Eds.) 2022 IEEE 96th Vehicular Technology Conference: (VTC2022-Fall) (2022, September)
DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks; ; ;
in DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks (2022, December)
DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks; ; ;
in DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks (2022, December)
Edge Computing enabled Intrusion Detection for C-V2X Networks using Federated Learning; ; ;
in The 2022 IEEE Global Communications Conference (GLOBECOM) (2022, December)
Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning; ; ; ;
in The 2022 IEEE Global Communications Conference (GLOBECOM) (2022, December)
2021
Federated Learning-based Scheme for Detecting Passive Mobile Attackers in 5G Vehicular Edge Computing;
in Annals of Telecommunications (2021)
Consortium Blockchain for Cooperative Location Privacy Preservation in 5G-enabled Vehicular Fog Computing; ;
in IEEE Transactions on Vehicular Technology (2021)
Software-Defined Location Privacy Protection for Vehicular Networks; ; ;
in Boualouache, Abdelwahab; Soua, Ridha; Qiang, Tang; Engel, Thomas (Eds.) Machine Intelligence and Data Analytics for Sustainable Future Smart Cities (2021)
Intelligent Misbehavior Detection System for Detecting False Position Attacks in Vehicular Networks; ; ;
in Hawlader, Faisal; Boualouache, Abdelwahab; Faye, Sébastien; Engel, Thomas (Eds.) The 2021 IEEE International Conference on Communications (the 4th Workshop on 5G and Beyond Wireless Security) (2021, June)
A Trusted Hybrid Learning Approach to Secure Edge Computing; ; ;
in IEEE Consumer Electronics Magazine (2021)
2020
Toward an SDN-based Data Collection Scheme for Vehicular Fog Computing; ;
in IEEE International Conference on Communications ICC'2020 (2020, June 07)
SDN-based Misbehavior Detection System for Vehicular Networks; ;
in 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (2020, May)
2019
VPGA: an SDN-based Location Privacy Zones Placement Scheme for Vehicular Networks; ;
in 38th IEEE International Performance Computing and Communications Conference (IPCCC) (2019, October 29)
SDN-based Pseudonym-Changing Strategy for Privacy Preservation in Vehicular Networks; ;
in 15th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob'19) (2019, October)
