Fiche de Bouziane BRIK

Bouziane BRIK
Maître de Conférence
Section 27 - Informatique
Adresse :
Tél. :
E-mail :
Site web : https://sites.google.com/view/bouziane-brik/home
Equipe : SIC
Fonction : MCF
  • Presentation
  • Publications
Presentation

I’m Bouziane Brik, I was born and raised in Laghouat city (south of Algeria). I’m currently living and working in Nevers city, in the Bourgogne-Franche-Comté region in central France (260 km (160 mi) south-southeast of Paris. ).

I’m a doctor in computer science. Currently, I am working as associate professor at Burgundy (Bourgogne) university and DRIVE laboratory. Before joining Burgundy university, I was a post-doc at university of Troyes, CESI school, and Eurecom school.

Publications
Taki Eddine Toufik Djaidja, Bouziane Brik, Sidi Mohammed Senouci, Abdelwahab Boualouache, Yacine Ghamri-Doudane. Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs. IEEE Transactions on Information Forensics and Security, 2024, 19, pp.7783-7793. ⟨10.1109/TIFS.2024.3441862⟩. ⟨hal-04700992⟩
Taki Eddine Toufik Djaidja, Bouziane Brik, Abdelwahab Boualouache, Sidi Mohammed Senouci, Yacine Ghamri-Doudane. Time-efficient detection of false position attack in 5G and beyond vehicular networks. Computer Networks, 2024, 247, pp.110461. ⟨10.1016/j.comnet.2024.110461⟩. ⟨hal-04700971⟩
Taki Eddine Toufik Djaidja, Bouziane Brik, Abdelwahab Boualouache, Sidi-Mohamed Senouci, Yacine Ghamri-Doudane. Federated learning for 5G and beyond, a blessing and a curse- an experimental study on intrusion detection systems. Computers & Security, 2024, 139, pp.103707. ⟨10.1016/j.cose.2024.103707⟩. ⟨hal-04700849⟩
Zakaria Abou El Houda, Bouziane Brik, Lyes Khoukhi. “Why Should I Trust Your IDS?”: An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks. IEEE Open Journal of the Communications Society, 2022, 3 (11), pp.1164-1176. ⟨10.1109/OJCOMS.2022.3188750⟩. ⟨hal-03933393⟩
Bouziane Brik, Moez Esseghir, Leila Merghem-Boulahia, Ahmed Hentati. Providing Convenient Indoor Thermal Comfort in Real-Time Based on Energy-Efficiency IoT Network. Energies, 2022, 15 (3), pp.808. ⟨10.3390/en15030808⟩. ⟨hal-04453691⟩
Bouziane Brik, Moez Esseghir, Leila Merghem-Boulahia. On Adjusting Data Throughput in IoT Networks: A Deep Reinforcement Learning-Based Game Approach. IEEE Internet of Things Journal, 2023, pp.1-1. ⟨10.1109/JIOT.2023.3330408⟩. ⟨hal-04430157⟩
Wided Hammedi, Bouziane Brik, Sidi Mohammed Senouci. Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach. IEEE Transactions on Intelligent Transportation Systems, 2023, 24 (2), pp.2525 - 2537. ⟨10.1109/TITS.2022.3154158⟩. ⟨hal-04352357⟩
Mohammed Anis Benblidia, Bouziane Brik, Moez Esseghir, Leila Merghem-Boulahia. A renewable energy-aware power allocation for cloud data centers: A game theory approach. Computer Communications, 2021, 179, pp.102-111. ⟨10.1016/j.comcom.2021.08.001⟩. ⟨hal-03357869⟩
Bouziane Brik, Moez Esseghir, Leila Merghem-Boulahia, Hichem Snoussi. An IoT-based deep learning approach to analyse indoor thermal comfort of disabled people. Building and Environment, 2021, 203, pp.108056. ⟨10.1016/j.buildenv.2021.108056⟩. ⟨hal-03320633⟩
Abdelwahab Boualouache, Bouziane Brik, Sidi-Mohammed Senouci, Thomas Engel. On-Demand Security Framework for 5GB Vehicular Networks. IEEE Internet of Things Magazine, 2023, 6 (2), pp.26-31. ⟨10.1109/IOTM.001.2200233⟩. ⟨hal-04161066⟩