Title | ||
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Machine-Learning-Based Side-Channel Leakage Detection in Electronic System-Level Synthesis |
Abstract | ||
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Security critical hardware devices in CPS must experience security testing including side-channel leakage detection, which aims to provide earlier assessment before coming into service. Due to the exponential nature of ESLS, performing fast and efficient leakage detection is a critical task in the context of security evaluation for DSE. However, the traditional method of leakage detection is alway... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/MNET.011.1900313 | IEEE Network |
Keywords | DocType | Volume |
Computer security,Unsupervised learning,Complexity theory,Hardware,Supervised learning,Smart cards,Field programmable gate arrays | Journal | 34 |
Issue | ISSN | Citations |
3 | 0890-8044 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |