Companies interested in the master program can sponsor it by offering scholarships and travel grants to students.
Please get in touch with the coordinator if interested at stefano.secci@lecnam.net
Teachers' publications
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols
- The PLATO Mission
- Comprehensive Survey on Vehicular Communication Security
- ABD-HFL: Byzantine-resistant Decentralized Hierarchical Federated Learning
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- DiNATrAX : a Network Anomalies Detection Framework
- Challenger: Blockchain-based Massively Multiplayer Online Game Architecture
- Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles
- Comment Saboter l'Apprentissage Collectif par Commérage
- 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
- 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
- Enhancing Security in Blockchain Enabled IoT Networks Empowered with zk-SNARKs and Physically Unclonable Functions
- 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
- Data Poisoning Attacks in Gossip Learning
- Impact of COVID-19 infection on lung function and nutritional status amongst individuals with cystic fibrosis: A global cohort study
- The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation
- Information Security Theory and Practice
- Liability and Trust Analysis Framework for Multi-Actor Dynamic Microservices
- Impact of Mobility Model on LoRaWan Performance
- iTEVAC: an enhanced trusted evacuation system leveraging fog computing and IoT
- Self-organised map and trust-aware-based quality of service prediction for reliable services selection in distributed computing environment
- Mobile, Secure, and Programmable Networking
- A Novel Image Encryption Technique Using Modified Grain-128
- Q-ICAN: A Q-learning based Cache Pollution Attack Mitigation Approach for Named Data Networking
