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cs.CR2024
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
Rudolf Ferenc, Péter Hegedűs, Péter Gyimesi +3
The rapid rise of cyber-crime activities and the growing number of devices threatened by them place software security issues in the spotlight. As around 90% of all attacks exploit…
cs.CR2021
Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics
Tamás Viszkok, Péter Hegedűs, Rudolf Ferenc
Due to the growing number of cyber attacks against computer systems, we need to pay special attention to the security of our software systems. In order to maximize the effectivenes…