Enhancing Cybersecurity Through Adaptive Anomaly Detection Using Modern AI Techniques
This thesis explores how artificial intelligence (AI) techniques and machine learning (ML) algorithms can enhance adaptive anomaly detection frameworks while aiming to develop effective strategies for identifying and mitigating evolving cyberthreats. The main objective of this study is to create a u...
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| Muut tekijät: | , , , |
| Aineistotyyppi: | Pro gradu |
| Kieli: | eng |
| Julkaistu: |
2024
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| Aiheet: | |
| Linkit: | https://jyx.jyu.fi/handle/123456789/95217 |