| 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 +
|
