Master in Computer Networks and IoT Systems – Cnam, Paris, France
Master in Computer Networks and IoT Systems – Cnam, Paris, France
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Academic year 2025/2026:
Teachers' publications
GNN graph structures in network anomaly detection
Pactole
HEAL: Resilient and Self-* Hub-based Learning
Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
HEAL: Resilient and Self-* Hub-based Learning
FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
Energy Savings on the Uplink thanks to OFDM Cyclic Prefix Suppression
Function Placement for In-network Federated Learning
Data Pipeline System Designs for In-network Learning
Brief Announcement: A Self-* and Persistent Hub Sampling Service
A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols
The PLATO Mission
Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data
Towards an Efficient Navigation Solution for Visually Impaired Individuals: Concepts and Constraints
Comprehensive Survey on Vehicular Communication Security
ABD-HFL: Byzantine-resistant Decentralized Hierarchical Federated Learning
DiNATrAX : a Network Anomalies Detection Framework
Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
Challenger: Blockchain-based Massively Multiplayer Online Game Architecture
Comment Saboter l'Apprentissage Collectif par Commérage
Routing Edge-Cloud Requests via Multi-Objective Reinforcement Learning
GeoGiant: Vers une géolocalisation d'adresses IP à l'échelle grâce aux géants d'Internet
Improving NDN Resilience: A Novel Mitigation Mechanism Against Cache Pollution Attack
Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles
Emergent Peer-to-Peer Multi-Hub Topology
Flexible Association and Placement for Open-RAN
Network Slice Robustness with Function Sets
Optimal quadratic control of queues by dynamic service rates
Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Distributed computation of temporal twins in periodic undirected time-varying graphs
Enhancing privacy in VANETs through homomorphic encryption in machine learning applications
Generative Adversarial Networks based Data Recovery for Indoor Localization
Joint RSS and Ranging Fingerprint for LoRa Indoor Localization
Data Poisoning Attacks in Gossip Learning
Security Challenges and Countermeasures in Blockchain’s Peer-to-Peer Architecture
Privacy Preserving Federated Learning: A Novel Approach for Combining Differential Privacy and Homomorphic Encryption
A Bitcoin-Based Digital Identity Model for the Internet of Things
Enhancing Security in Blockchain Enabled IoT Networks Empowered with zk-SNARKs and Physically Unclonable Functions
Data Poisoning Attacks in Gossip Learning