Associated Team
Machine Learning, Network, System and Security (MLNS²)
The MLNS² project aims to design and investigate efficient, robust, and scalable approaches to fight against malware proliferation. Addressing such challenges requires multidisciplinary knowledge from Machine Learning, Networking, System security, and beyond.
Cybersecurity
Advanced threat detection for simbox fraud and malware, ensuring robust protection in digital environments.
Machine Learning
Applying cutting-edge AI for automated analysis, intelligent prediction, and data-driven decision making.
System & Network
In-depth research on cellular networks and smartphone ecosystems to build more resilient systems.
An International Collaboration
