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The thesis proposal by Nada Salaheddin Saad Gheriyani focuses on developing autonomous retraining algorithms for neural networks to enhance cybersecurity against zero-day attacks. It aims to enable continuous learning and adaptation of these models in response to emerging threats, addressing the limitations of traditional cybersecurity measures. The research highlights the significance of adaptability in cybersecurity and proposes methodologies for evaluating the effectiveness of these algorithms in real-ti
- Author
- Nada Salaheddin Gheriyani
- Language
- EN