Master in Computer Networks and IoT Systems – Cnam, Paris, France

Master in Computer Networks and IoT Systems – Cnam, Paris, France

Menu

Home
Master program
Planning & Logistics
- M1 Planning
- M2 Planning
Admission
- Application form
- Tuition Fees

2025 New Cohort

The new cohort started the courses this month !

A nice mix of top students from China, Ethiopia, India, Iran, Italy, Nepal, Pakistan, Saudi Arabia, UAE, Tanzania, who met with other international master students at the annual Welcome Reception.

2025 New Cohort

Joaquin Bayona September 23, 2025November 8, 2025 Uncategorized

← Alumni Testimonials – Thierry N’Kouka, Ali Moheed Kayani
2025 Advanced Projects →

Recent Posts

2025 Hedy Lamarr Graduates
2025 Advanced Projects
2025 New Cohort
Alumni Testimonials – Thierry N’Kouka, Ali Moheed Kayani
M1 internships 2025
M2 Internships 2025
Alumni Testimonial – Anh Khoa Dang, now PhD engineer at Ericsson
Master opening in Athens, Greece.
Alumni Testimonial – David Kule MUKUHI, now R&D engineer and PhD candidate at SNCF & UGE
French learning

Website pages

Home
Master program
Planning & Logistics
- M1 Planning
- M2 Planning
Admission
- Application form
- Tuition Fees

Teachers' publications

MetaLore: learning to orchestrate communication and computation for metaverse synchronization
Shared Responsibility in Multi-Tenant Microcontrollers
Randomness is good enough in DAG-based Federated Learning
ORCA: Unveiling Obscure Containers In The Wild
The Multi-controller Model in Cloud Management
FLAIR: Distributed Federated Learning with Dynamic Clustering
TinyML as a Service on Multi-Tenant Microcontrollers
Leveraging Graph Neural Networks for Attack Detection in IoT Systems
Deep Q-ICAN: A Deep Reinforcement Learning-based Approach for Real-time CPA Attack Detection and Mitigation in NDN Architecture
Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
Towards a Secure Modular Drone-Based Hardware Architecture for IoT-Enabled Traffic Safety in Intelligent Transportation Systems
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
Exploiting Internet's Shadow Areas for Stealth Interception BGP Hijack at Internet Exchange Points
Comment se rassembler (avec certitude) quand on est confus et désorienté
Les étoiles montantes de l'apprentissage distribué
Des noeuds anonymes hissés au rang de stars
Rendez-vous au Point-Dont-On-Ne-Doit-Pas-Calculer-Les-Coordonnées
Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
DREAM: Dual foREcAsting Model for Network Anomaly Detection
GNN graph structures in network anomaly detection
Timing of inversion of the Weald–Boulonnais basin inferred from calcite U–Pb geochronology of brittle structures along the Opal Coast, northern France
Molecular diagnosis of kidney allograft rejection based on the Banff Human Organ Transplant gene panel: a multicenter international study
HEAL: Resilient and Self-* Hub-Based Learning
Timing of Contractional Stress Propagation, From the Pyrenean Orogen to the Intraplate Domain, Evidenced by U‐Pb Dating of Syn‐Kinematic Calcite
Pactole
The PLATO Mission
On flexible association and placement in disaggregated RAN designs
Section 06 Sciences de l’information : fondements de l’informatique, calculs, algorithmes, représentations, exploitations
HEAL: Resilient and Self-* Hub-based Learning
Secure data traceability for mobile data collectors
Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
HEAL: Resilient and Self-* Hub-based Learning
Les vivants et les morts dans la Vallée de la Cèze (Gard) : Projet Collectif de Recherche sur les dynamiques d’occupation humaine à la fin du Néolithique et au début de l’âge du Bronze
FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
PSBA-XG: A Publish/subscribe Service-Based Architecture for Beyond 5G Systems
Modelling and approximate approaches to organising horse race schedules

Copyright © 2025 Master in Computer Networks and IoT Systems – Cnam, Paris, France. Powered by WordPress. Theme: Spacious by ThemeGrill.

Home
Graduation Classes
Scholarship Opportunities
FAQ
Sponsors
Master program
Advanced Experimental Projects
Master Internships
Double Degrees
Teachers
Planning & Logistics
M1 Planning
M2 Planning
Admission
Application form
Tuition Fees