The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches

• Main Authors: Hazim, Hanif, Mohd Hairul Nizam, Md Nasir, Mohd Faizal, Ab Razak, Ahmad, Firdaus, Nor Badrul, Anuar
• Format: Article
• Language: English
• Published: Elsevier 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/33731/1/The%20rise%20of%20software%20vulnerability%20Taxonomy%20of%20software.pdf; http://umpir.ump.edu.my/id/eprint/33731/; https://doi.org/10.1016/j.jnca.2021.103009; https://doi.org/10.1016/j.jnca.2021.103009

The detection of software vulnerability requires critical attention during the development phase to make it secure and less vulnerable. Vulnerable software always invites hackers to perform malicious activities and disrupt the operation of the software, which leads to millions in financial losses to...