Publications récentes de l'équipe d'accueil
- Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
- O-RAN Integrated Space-Terrestrial Networks: A Multi-Connectivity Strategy Analysis
- Systematization of Knowledge on Offline-Capable Digital-Currency Protocols
- Block-PAD: A blockchain-enabled framework for resilient and flexible CBDC transactions leveraging digital identity
- Joint Design of Coding and Modulation for Digital Over-the-Air Computation
- ATS-CP: an Adaptive Framework for Traffic State Collection and Prediction in Software-Defined LEO Satellite Networks
- Programmable Packet Scheduling on FPGA-based Switches
- Real-time Botnets Activity Detection
- Rethinking AI Deployment in IoT Architectures: Granular AI
- An FPGA-Based LDPC Decoder for Smart-NICs
- Inside Job: Defending Kubernetes Clusters Against Network Misconfigurations
- Securing maritime NMEA 2000: Detecting cyber-attacks through PGN analysis
- An AI Security Testbed for the 5G Core
- User-Centric Approach in the digital ecosystem. The User Information System and Smart Customized Services
- Feature Skew Control for In-Network Federated Learning
- Shared Responsibility in Multi-Tenant Microcontrollers
- Les langues peu dotées à l’ère du numérique et de l’IA : exemple de la langue kabyle
- ORCA: Unveiling Obscure Containers In The Wild
- TinyML as a Service on Multi-Tenant Microcontrollers
- Intent-Driven Automata for Intent Structuring and Translation in Industry 4.0
- Leveraging Graph Neural Networks for Attack Detection in IoT Systems
- A Regularity-Driven Fast Rerouting Algorithm for Topology-Varying Satellite Networks
- Deep Q-ICAN: A Deep Reinforcement Learning-based Approach for Real-time CPA Attack Detection and Mitigation in NDN Architecture
- Helm-ET: Reducing Exposure to Lateral Movement in Kubernetes Artifacts
- Federated learning for secure in-vehicle communication
- Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
- Enhancing Maritime Cybersecurity with Advanced Anomaly Detection using Semi-Markov Processes
- Traffic Prediction Improvement in 5G and beyond: AI and Self-Controlled Components
- Unsupervised Deep Learning for Behavioral and Quality Anomaly Detection in 5G Networks: Early Methods and Challenges
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights