Open Innovation Campus

Cybersecurity

AI-based advanced persistent threat detection

Available

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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.

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Area of development

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).

Challenge Intro

The development of this project is carried out in close collaboration with Telefónica experts in the development of tools and methods to combat APTs.

Challenge Description

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.

Who is challenging you?

Telefónica's Industrial Tutors accompany you in the development of the TFG/TFM, providing their real vision of the industry. They will share their knowledge and experience, offering you feedback so that you can develop a project with an innovative impact.
Eduard Marin Telefónica

Eduard Marin

Research Scientist Cybersecurity and networks - Discovery / Telefónica Innovación Digital

  • Francisco Álvarez Terribas

    Francisco Álvarez Terribas

    Research - Discovery / Telefónica Innovación Digital

  • Paul Almasan

    Paul Almasan

    Scientific Research - Discovery / Telefónica Innovación Digital