Cybersecurity
Resources
.
Are you interested?
If you are a professor or university student and you are interested in participating in the TUTORING program, register your information so that we can start the program.
Area of development
This challege aims a highly motivated and self-sufficient student, willing to learn and pay attention to details;
Minimal AI/ML background and proficient in English (spoken and written)
Challenge Intro
This project aims to design novel ML-based advanced persistent threat (APT) detection algorithms. The student will work closely with industry experts from Telefónica on the development of tools and methods to combat APTs.
Challenge Description
The objective of this project is to develop novel ML-based techniques for detecting Advanced Persistent Threats (APTs) from system logs. During this project, the student will gain hands-on experience in working with real-world datasets and will acquire technical skills to develop state-of-the-art anomaly detection techniques. In addition, the student will gain experience in graph-based ML, sequence modeling, and advanced graph embedding techniques.
