Du 14 au 16 septembre 2023 a eu lieu à Lyon la 47ème édition de la Compétition Nationale des Métiers (WorldSkills France). Il s’agit d’une compétition axée sur les compétences techniques et professionnelles des candidats. Les compétiteurs, qui sont tous
Publications des intervenants
- ELoRa: End-to-end Emulation of Massive IoT LoRaWAN Infrastructures
- Handling security issues by using homomorphic encryption in multi-cloud environment
- Live migration of containerized microservices between remote Kubernetes Clusters
- User Centric approach in Digital Ecosystem. Smart Identity.
- A microservice migration approach to controlling latency in 5G/6G networks
- Application of Homomorphic Encryption in Machine Learning
- Supervised Machine Learning for Matchmaking in Digital Business Ecosystems and Platforms
- Color image encryption based on an improved Fractional-order logistic map
- Conceptual Model of User Experience for Personalization
- Predictive Anomaly Detection
- Packet Delivery Ratio Guarantees for Differentiated LoRaWAN Services
- IFKMS: Inverse Function-based Key Management Scheme for IoT networks
- An AI-empowered framework for cross-layer softwarized infrastructure state assessment
- 8th IEEE International Conference on Network Softwarization 2022 (IEEE NetSoft 2022), Milan, Italy
- User Centric Approach in Digital Ecosystem. The Smart Interface
- Vers une gestion d’identités auto-souveraine pour les dispositifs IoT
- LemonLDAP::NG - A Full AAA Free Open Source WebSSO Solution
- LemonLDAP::NG - A Full AAA Free Open Source WebSSO Solution
- Robust Multi-Resource Allocation Against Controller Failures in Network Slice Provisioning
- Container placement and migration strategies for Cloud, Fog and Edge data centers: A survey
- Function Placement and Acceleration for In-Network Federated Learning Services
- A Proposal for Intent-based Configuration of ICT Components : Doctoral consortium paper
- Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology
- Distributed algorithms for multi-resource allocation
- Network Anomalies Detection by Unsupervised Activity Deviations Extraction
- Reference architecture for slicing in LoRAWAN networks (updated version)
- Secure and non-interactive k-NN classifier using symmetric fully homomorphic encryption
- Traffic Control and Channel Assignment for Quality Differentiation in Dense Urban LoRaWANs
- An approach for unsupervised contextual anomaly detection and characterization
- Robust Access Point Clustering in Edge Computing Resource Optimization
