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| Hardware Security Enhancement in Cyber-Physical Systems using Deep Learning-based Anomaly Detection |
| Keywords | Cyber-Physical Systems, Anomaly Detection, Hardware Security, Deep Learning, Low Power + |
|---|---|
| Level | Master + |
| OneLineSummary | In this project, we intend to employ a deep learning approach to detect anomalies in cyber-physical systems using data flow monitoring. + |
| StudentProjectStatus | Open + |
| Supervisors | Mahdi Fazeli + |
| ThesisAuthor | Mahdi Fazeli + |
| Title | Hardware Security Enhancement in Cyber-Physical Systems using Deep Learning-based Anomaly Detection + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 1 October 2022 10:25:01 + |
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