Comparative analysis of machine learning models to predict common vulnerabilities and exposure
Predicting Common Vulnerabilities and Exposures (CVE) is a challenging task due to the increasing complexity of cyberattacks and the vast amount of threat data available. Effective prediction models are crucial for enabling cybersecurity teams to respond quickly and prevent potential exploits. This...
| Main Authors: | Shaesta Khan, Sheh Rahman, Noraziah, Adzhar, Nazri, Ahmad Zamani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2024
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44067/ http://umpir.ump.edu.my/id/eprint/44067/1/Comparative%20analysis%20of%20machine%20learning%20models.pdf |
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