Name
Abstract | ||
|---|---|---|
Side-channel attacks pose a serious threat to implementations of cryptographic algorithms. Template attacks are probabilistic side channel attacks, which assume a Gaussian noise model. Selecting automatically the meaningful time samples in side-channel leakage traces is an important problem in the application of template attacks and it usually relies on heuristics. In this work, we propose a new dimension reduction method which is different from classical statistical tools to solve this problem. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CIS.2014.123 | CIS |
Keywords | Field | DocType |
Template Attack, PCA, SCEC | Cross entropy,Algorithm design,Subspace topology,Computer science,Cryptography,Theoretical computer science,Heuristics,Side channel attack,Artificial intelligence,Probabilistic logic,Gaussian noise,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Song | 1 | 0 | 0.34 |
| lijiwu | 2 | 49 | 23.68 |
| An Wang | 3 | 12 | 5.41 |
| Xinyu Zhao | 4 | 0 | 0.34 |