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., & 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., 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 |
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 |
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 |
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 |
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. doi:10.1109/IOTM.001.2200233 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 |
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 |
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., & 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., 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). 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., 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 |
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 |
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 |