Le master ROC en alternance ouvre sa quatrième cohorte avec 45 nouveaux étudiants sur les trois sites de Mulhouse, Paris et Perpignan, sélectionnés parmi plus que 1500 étudiants. Ad maiora !
Nouvelle cohorte 2025-2027
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
