Project Description:
This project delves into the predictive analysis of human factors in cybersecurity, specifically examining how trust and cultural backgrounds influence cybersecurity behaviors and vulnerabilities. Through machine learning models, it identifies trust-related human factors, such as susceptibility to social engineering or trust in security protocols, and explores how these vary across different cultural contexts. By understanding these cross-cultural dynamics, this project aims to inform the development of more effective, culturally aware cybersecurity strategies, ultimately fostering a safer digital environment that respects diverse perspectives and behaviors.