Automatically Detect Software Security Vulnerabilities Based on Natural Language Processing Techniques and Machine Learning Algorithms

Automatically Detect Software Security Vulnerabilities Based on Natural Language Processing Techniques and Machine Learning Algorithms

Nowadays, software vulnerabilities pose a serious problem, because cyber-attackers often find ways to attack a system by exploiting software vulnerabilities. Detecting software vulnerabilities can be done using two main methods: i) signature-based detection, i.e. methods based on a list of known se...

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Bibliographic Details
Main Authors: Do Xuan Cho, Vu Ngoc Son, Duong Duc
Format: Article
Language:English
Published: ITB Journal Publisher 2022-05-01
Series:Journal of ICT Research and Applications
Subjects:
machine learning algorithms
natural language processing techniques
software security vulnerability detection
software vulnerabilities
source code features
Online Access:https://journals.itb.ac.id/index.php/jictra/article/view/16905

Internet

https://journals.itb.ac.id/index.php/jictra/article/view/16905

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