The project “Tool for the anonymization of sequential data for use in detecting collective anomalies in cybersecurity,” submitted by Dr. Sergio Yovine, academic coordinator of the Specialization Diploma in Big Data Analytics and professor of Artificial Intelligence at the School of Engineering, to the María Viñas Fund of the National Agency for Research and Innovation (ANII), has been approved for funding.
The two-year project aims to develop the anonymization of discrete time series data using generative networks to preserve the data’s usefulness for detecting collective anomalies and to implement software for its application in cybersecurity.