Back
  1. Home
  2. Profile of Abdelwahab BOUALOUACHE (Unilu)
Profil

BOUALOUACHE Abdelwahab

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Main Referenced Co-authors
ENGEL, Thomas  (17)
Brik, Bouziane (8)
Senouci, Sidi-Mohammed (7)
Senouci, Sidi Mohammed (5)
SOUA, Ridha  (5)
Main Referenced Keywords
Security (14); 5G-V2X (6); Network Slicing (5); Privacy (5); Vehicular Networks (5);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab) (2)
Main Referenced Disciplines
Computer science (27)

Publications (total 27)

The most downloaded
494 downloads
Boualouache, A., & Engel, T. (2021). Federated Learning-based Scheme for Detecting Passive Mobile Attackers in 5G Vehicular Edge Computing. Annals of Telecommunications. doi:10.1007/s12243-021-00871-x https://hdl.handle.net/10993/48006

The most cited

23 citations (Scopus®)

Boualouache, A., & Engel, T. (2022). A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2023.3236448 https://hdl.handle.net/10993/54374

The most significant

Sedjelmaci, H., & Boualouache, A. (2023). When Two-Layer Federated Learning and Mean-Field Game Meet 5G and Beyond Security: Cooperative Defense Systems for 5G and Beyond Network Slicing. IEEE Transactions on Network and Service Management.
Peer Reviewed verified by ORBi

Boualouache, A., Brik, B., Tang, Q., Abdelaziz, Cherrier, S., Senouci, S.-M., Pardo, E., Ghamri-Doudane, Langar, R., & Engel, T. (2022). 5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities. IEEE Internet of Things Journal.
Peer reviewed

Boualouache, A., & Engel, T. (2022). A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2023.3236448
Peer reviewed


Djaidja, T. E. T., Brik, B., BOUALOUACHE, A., Senouci, S. M., & Ghamri-Doudane, Y. (April 2024). Federated learning for 5G and beyond, a blessing and a curse- an experimental study on intrusion detection systems. Computers and Security, 139, 103707. doi:10.1016/j.cose.2024.103707
Peer Reviewed verified by ORBi

BOUALOUACHE, A., ADAVOUDI JOLFAEI, A., & ENGEL, T. (2024). Multi-process Federated Learning with Stacking for Securing 6G-V2X Network Slicing at Cross-Borders. IEEE Transactions on Intelligent Transportation Systems. doi:10.1109/TITS.2024.3367388
Peer Reviewed verified by ORBi

BOUALOUACHE, A., Amara Korba, A., Senouci, S.-M., Ghamri-Doudane, Y., & ENGEL, T. (2023). Reinforcement Learning-based Security Orchestration for 5G-V2X Network Slicing at Cross-borders. In Reinforcement Learning-based Security Orchestration for 5G-V2X Network Slicing at Cross-borders. IEEE. doi:10.1109/GLOBECOM54140.2023.10437953
Peer reviewed

Badre, B., Vinicius F. Silva, BOUALOUACHE, A., Rami Langar, & Sylvain Cherrier. (2023). Deep Learning-based Smart Radio Jamming Attacks Detection on 5G V2I/V2N Communications. In Deep Learning-based Smart Radio Jamming Attacks Detection on 5G V2I/V2N Communications. IEEE.
Peer reviewed

Hossain, S., Boualouache, A., Brik, B., & Senouci, S.-M. (2023). 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. doi:10.1109/ICC45041.2023.10279212
Peer reviewed

Fotouhi, M., Buscemi, A., Boualouache, A., Jomrich, F., Koebel, C., & Engel, T. (2023). Assessing the Impact of Attacks on an Automotive Ethernet Time Synchronization Testbed. In M. Fotouhi, A. Buscemi, A. Boualouache, F. Jomrich, C. Koebel, ... T. Engel, 2023 IEEE Vehicular Networking Conference (VNC), Istanbul 26-28 April 2023. doi:10.1109/VNC57357.2023.10136275
Peer reviewed

Boualouache, A., Brik, B., Senouci, S.-M., & Engel, T. (2023). On-Demand Security Framework for 5GB Vehicular Networks. IEEE Internet of Things Magazine.
Peer reviewed

Adavoudi Jolfaei, A., Boualouache, A., Rupp, A., Schiffner, S., & Engel, T. (2023). A Survey on Privacy-preserving Electronic Toll Collection Schemes for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems.
Peer Reviewed verified by ORBi

Korba, A. A., Boualouache, A., Bouziane, B., Rahal, R., Ghamri-Doudane, Y., & Senouci, S. M. (2023). Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks. In IEEE ICC 2023 - IEEE International Conference on Communications.
Peer reviewed

Sedjelmaci, H., & Boualouache, A. (2023). When Two-Layer Federated Learning and Mean-Field Game Meet 5G and Beyond Security: Cooperative Defense Systems for 5G and Beyond Network Slicing. IEEE Transactions on Network and Service Management.
Peer Reviewed verified by ORBi

Djaidja, T. E. T., Brik, B., Boualouache, A., & Senouci, S. M. (2022). 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.
Peer reviewed

Djaidja, T. E. T., Brik, B., Boualouache, A., & Senouci, S. M. (2022). 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.
Peer reviewed

Selamnia, A., Brik, B., Senouci, S.-M., & Boualouache, A. (2022). Edge Computing enabled Intrusion Detection for C-V2X Networks using Federated Learning. In The 2022 IEEE Global Communications Conference (GLOBECOM).
Peer reviewed

Selamnia, A., Brik, B., Senouci, S.-M., Boualouache, A., & Hossain, S. (2022). Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning. In The 2022 IEEE Global Communications Conference (GLOBECOM).
Peer reviewed

Boualouache, A., Brik, B., Tang, Q., Abdelaziz, Cherrier, S., Senouci, S.-M., Pardo, E., Ghamri-Doudane, Langar, R., & Engel, T. (2022). 5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities. IEEE Internet of Things Journal.
Peer reviewed

Boualouache, A., & Engel, T. (2022). A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2023.3236448
Peer reviewed

Boualouache, A., & Engel, T. (2022). Federated Learning-based Inter-slice Attack Detection for 5G-V2X Sliced Networks. In A. Boualouache & T. Engel, 2022 IEEE 96th Vehicular Technology Conference: (VTC2022-Fall). IEEE.
Peer reviewed

Boualouache, A., Djaidja, T. E. T., Senouci, S.-M., Ghamri-Doudane, Y., & Engel, T. (2022). Deep Learning-based Intra-slice Attack Detection for 5G-V2X Sliced Networks. In 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). doi:10.1109/VTC2022-Spring54318.2022.9860373
Peer reviewed

Boualouache, A., & Engel, T. (2021). Federated Learning-based Scheme for Detecting Passive Mobile Attackers in 5G Vehicular Edge Computing. Annals of Telecommunications. doi:10.1007/s12243-021-00871-x
Peer Reviewed verified by ORBi

Hawlader, F., Boualouache, A., Faye, S., & Engel, T. (2021). Intelligent Misbehavior Detection System for Detecting False Position Attacks in Vehicular Networks. In F. Hawlader, A. Boualouache, S. Faye, ... T. Engel, The 2021 IEEE International Conference on Communications (the 4th Workshop on 5G and Beyond Wireless Security).
Peer reviewed

Boualouache, A., Sedjelmaci, H., & Engel, T. (2021). Consortium Blockchain for Cooperative Location Privacy Preservation in 5G-enabled Vehicular Fog Computing. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2021.3083477
Peer Reviewed verified by ORBi

Boualouache, A., Soua, R., Qiang, T., & Engel, T. (2021). Software-Defined Location Privacy Protection for Vehicular Networks. In A. Boualouache, R. Soua, T. Qiang, ... T. Engel, Machine Intelligence and Data Analytics for Sustainable Future Smart Cities. Springer. doi:10.1007/978-3-030-72065-0_21
Peer reviewed

Sedjelmaci, H., Senouci, S. M., Ansari, N., & Boualouache, A. (2021). A Trusted Hybrid Learning Approach to Secure Edge Computing. IEEE Consumer Electronics Magazine. doi:10.1109/MCE.2021.3099634
Peer reviewed

Boualouache, A., Soua, R., & Engel, T. (2020). Toward an SDN-based Data Collection Scheme for Vehicular Fog Computing. In IEEE International Conference on Communications ICC'2020.
Peer reviewed

Boualouache, A., Soua, R., & Engel, T. (2020). SDN-based Misbehavior Detection System for Vehicular Networks. In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).
Peer reviewed

Boualouache, A., Soua, R., & Engel, T. (2019). VPGA: an SDN-based Location Privacy Zones Placement Scheme for Vehicular Networks. In 38th IEEE International Performance Computing and Communications Conference (IPCCC). doi:10.1109/IPCCC47392.2019.8958746
Peer reviewed

Boualouache, A., Soua, R., & Engel, T. (2019). 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). doi:10.1109/WiMOB.2019.8923265
Peer reviewed

Contact ORBilu