RBC-Machine Learning and Deep Learning Techniques for Cybersecurity Risk Prediction and Anomaly Detection
Rajesh, Autee and Namitha, K Y and GAYATHRI DEVI, S and Subarno, Bhattacharyya (2025) RBC-Machine Learning and Deep Learning Techniques for Cybersecurity Risk Prediction and Anomaly Detection. In: RBC-Machine Learning and Deep Learning Techniques for Cybersecurity Risk Prediction and Anomaly Detection. Rademics, pp. 225-252. ISBN 978-93-49552-04-3
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Abstract
Machine Learning and Deep Learning Techniques for Cybersecurity Risk Prediction and Anomaly Detection delves into the transformative role of artificial intelligence in enhancing cybersecurity strategies. As cyber threats become increasingly sophisticated, traditional defense mechanisms often fall short, making AI-driven solutions essential for effective threat detection and risk management.
| Item Type: | Book Section |
|---|---|
| Subjects: | Computer Science Engineering > Neural Network |
| Domains: | Computer Science Engineering |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 15 Mar 2026 16:40 |
| Last Modified: | 12 May 2026 08:23 |
| URI: | https://ir.vistas.ac.in/id/eprint/13247 |
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