FIDI - Intelligent data analysis for IT forensics

To date, the search for clues on digital evidences is characterized by manual investigation work. The aim of the project is therefore to develop new analytical methods for IT forensics using simulations and machine learning techniques that automate the search for evidence of a security incident, such as unauthorized system access. The tools to be developed should be able to discover and investigate even novel traces and independently learn previously unknown patterns. The goal is to be able to process and check terabytes of data with these methods in order to save tracks considerably faster.