Cybersecurity
Open Innovation Campus
Cybersecurity
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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.
Proposal for the development of TFG/TFM (in English)
Challenge aimed at a motivated student, willing to learn and with an interest in attention to detail;
We recommend experience/knowledge in AI/ML and proficiency in English (spoken and written).
The development of this project is carried out in close collaboration with Telefónica experts in the development of tools and methods to combat APTs.
The objective of this project is to develop novel ML-based techniques to detect advanced persistent threats (APTs) from system logs.
During this project, the student will gain hands-on experience working with real-world datasets and acquire technical skills to develop state-of-the-art anomaly detection techniques, as well as gain experience in graph-based ML, sequence modeling, and advanced graph embedding techniques.