Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions

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 known types of security issues, finding vulnerable components and applying existing mitigation techniques is a viable pr...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Ferenc, Rudolf, Hegedűs, Péter, Gyimesi, Péter, Antal, Gábor, Bán, Dénes, Gyimóthy, Tibor
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Crime Datasets Deep learning Machine learning Performance prediction Prediction models Recall Sampling Search algorithms Security Source code
Online-Zugang:	Volltext
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