Threat data analysis

Starting date
June 6, 2023
Duration (months)
Computer Science
Managers or local contacts
Giacobazzi Roberto

The project aims to conduct an in-depth study and analyze various code similarity analysis techniques to enhance the automatic detection of malicious code. The main objective is to improve the effectiveness of mechanisms for detecting cybersecurity threats by identifying patterns and distinctive features in suspicious code, with a particular focus on ransomware code.


Università degli Studi della Calabria - Dipartimento DIMES
Funds: assigned and managed by the department

Project participants

Mila Dalla Preda
Associate Professor
Roberto Giacobazzi
Full Professor
Research areas involved in the project
Sistemi intelligenti
Artificial intelligence


Research facilities