Hardware-assisted malware detection for embedded systems
Side-channel attacks (SCAs) have risen to prominence in recent years, due to the advancement of measurement technology and machine learning algorithms. This project aims to detect the presence of such attacks on embedded systems, which have gained relevance with the advent of Internet-of-Things (...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162691 |