4 papers
Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs
Pedro Pereira, José Gonçalves, João Vitorino +2
This work addresses JavaScript malware detection to enhance client-side web application security with a behavior-based system. The ability to detect malicious JavaScript execution…
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
José Gonçalves, Miguel Silva, Eva Maia +1
The application of Artificial Intelligence has become a powerful approach to detecting software vulnerabilities. However, effective vulnerability detection relies on accurately cap…
Evaluating LLaMA 3.2 for Software Vulnerability Detection
José Gonçalves, Miguel Silva, Bernardo Cabral +5
Deep Learning (DL) has emerged as a powerful tool for vulnerability detection, often outperforming traditional solutions. However, developing effective DL models requires large amo…
SCoPE: Evaluating LLMs for Software Vulnerability Detection
José Gonçalves, Tiago Dias, Eva Maia +1
In recent years, code security has become increasingly important, especially with the rise of interconnected technologies. Detecting vulnerabilities early in the software developme…