Outsmarting Malware Using AI to Combat WannaCry and Beyond

Resumo

DOI 10.5281/zenodo.10633019

https://hal.science/hal-04460792v2

Cybersecurity threats like WannaCry are constantly evolving, leaving traditional defenses struggling to 
keep up. This research explores a powerful new weapon: Artificial Intelligence (AI). Using Bayesian 
Networks, a type of AI, we developed a method that detects WannaCry with 67.47% accuracy, 
outperforming traditional signature-based approaches. But this is just the beginning. Our AI model can 
learn and adapt, making it effective against even unknown malware, offering a crucial advantage in the 
ever-changing cybersecurity landscape.