Giovanni Pizzenti
Contextualized Cybersecurity Awareness through AI and Gamified Learning.
Rel. Marco Mellia, Stefano Traverso. Politecnico di Torino, Corso di laurea magistrale in Cybersecurity, 2025
Abstract
Cybersecurity threats increasingly exploit human factors rather than focusing on technical vulnerabilities, making human error the primary cause of data breaches. Traditional solutions like antivirus and firewalls are not effective against social engineering attacks such as phishing, where the real weakness lies in users' behavior and lack of awareness. Conventional training programs try to address this issue but often fail to create long-term behavioral change, as they are mostly theoretical and lack a connection to practical, real-world situations. This thesis, in collaboration with Ermes Browser Security, introduces a browser extension that provides contextual cybersecurity training triggered by risk events. When a threat is detected, the system not only blocks it but also uses AI to generate immediate educational content, based on the information from the detected event.
The extension combines phishing detection with data loss prevention and adapts its educational content to the user’s skill level through a simple profiling system
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
