S, SakthiMurugan and A, Sanjay Kumaar and Vignesh, Vishnu and P, Santhi (2024) Assessment of Zero-Day Vulnerability using Machine Learning Approach. EAI Endorsed Transactions on Internet of Things.
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Abstract
Organisations and people are seriously threatened by zero-day vulnerabilities because they may be utilised by attackers to infiltrate systems and steal private data. Currently, Machine Learning (ML) techniques are crucial for finding zero-day vulnerabilities since they can analyse huge datasets and
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:14 |
| Last Modified: | 16 Apr 2026 22:10 |
| URI: | http://eprints.eai.eu/id/eprint/51715 |
