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 2027/2028:
Teachers\' publications
PQTrust-Agent: Policy-Compiled Post-Quantum Trust Contracts for Web-of-Agents Communications
Building a Community-Grounded Spell Checker for the Kabyle Language Using NLP Powered by AI
From Attack Scenario to Measurable Detection Improvement: A Knowledge-Driven ATT&CK/D3FEND Framework for Instrumented Purple Teaming
CIGMA: An Evidence-Grounded Cryptographic Inventory Graph for Reproducible Post-Quantum Migration Prioritization
AgentFlowShield: Defending LLM Agents Against Metadata Side Channels
The Life of a Token: from Words to Bits on the Wire
GovSecLLM++: A Compliance-Aware Benchmark for Security Testing and Governance Evidence in LLM-Based Applications
Benchmarking Detection Engineering Improvements through Instrumented Adversary Emulation
Knowledge-Graph-Constrained LLM Generation of SIEM Detection Rules
Monolithic versus Disaggregated 5G-RAN Open Systems
Proceedings of the 2026 IEEE 12th International Conference on Network Softwarization (NetSoft)
Predictive maintenance for a hydraulic system on a vehicle using LSTM-based autoencoder
TinyContainer: Container Runtime Middleware Enabling Multi-tenant Microcontrollers with Built-in Security
ARISE: Unified Online Traffic Analyzer and Scheduling Engine in 5G Open-RAN
AIForwarder: Multi-Objective AI Inference Serving at the Edge with Dynamic Model Activation
Optimal Data Pipelining for in-Network Learning
Multi-Resource Explicit Congestion Notification
Dependency-Aware Dominant Resource Fairness for Multi-Tenant Multi-Resource Systems
treVM: Tiny Rust Embedded Virtual Machines with WASM on Variable Resource-Constrained Hardware
Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
Energy-Efficient Antenna Muting in Massive MIMO Networks Using Deep Reinforcement Learning
Theoretical Analysis and Adaptive Optimization of Random Access for VDE-SAT Systems
Carrier Priority Control for Energy-Efficient Multi-Band Networks: A DRL-Based Approach
LLM Signaling for Agentic 6G Network Services
Optimal Load Balancing in Federated Locator/ID Separation Protocol (LISP) Traffic Engineering
O-RAN Integrated Space-Terrestrial Networks: A Multi-Connectivity Strategy Analysis
DS-Route: GNN-based Flow-Level Latency Prediction in Software-Defined LEO Satellite Networks
Demo Abstract: TinyContainer: Access Control & Scheduling for Runtimes on Microcontrollers
5G RedCap Devices Driving the Evolution of Cellular IoT: A Review
Energy-Efficient Function Chaining and Assignment for In-Network Learning
Systematization of Knowledge on Offline-Capable Digital-Currency Protocols
Beyond All-Reduce: Event-Driven Model Parallelism Without Collective Communication Primitives (EBD2N)
Secure k-means Clustering using Homomorphic Encryption
Federated Multi-RIC Threat Intelligence for Secure and Scalable Open 6G Radio Access Networks
Block-PAD: A blockchain-enabled framework for resilient and flexible CBDC transactions leveraging digital identity
Artificial Intelligence and Machine Learning: Revolutionizing Supply Chain Security
Amawal n Tsenselkimt: Tafṛansist - Taglizit - Taqbaylit
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
On Graph Design for GNN-based Network Anomaly Detection