Name
Abstract | ||
|---|---|---|
Differential Power Analysis (DPA) is often preceded by various noise reduction techniques. Digital Signal Processing (DSP) and Principal Component Analysis (PCA) have found their numerous applications in this area. However, most of them either require explicit profiling/semi-profiling step or depend on some heuristically chosen parameters. In this paper, we propose optimal pre-processing of power traces in non-profiling setup using an optimum linear filter and an approximate optimum linear filter. We have also empirically evaluated the proposed filters in several noisy scenarios which show significant improvements in the results of Correlation Power Analysis (CPA) over the existing preprocessing techniques. We have further investigated the optimality of the one proposed pre-processing technique by comparing it with a profiling attack. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-10175-0_12 | CONSTRUCTIVE SIDE-CHANNEL ANALYSIS AND SECURE DESIGN |
Field | DocType | Volume |
Noise reduction,Power analysis,Digital signal processing,Linear filter,Profiling (computer programming),Computer science,Algorithm,Discrete Fourier transform,Matched filter,Principal component analysis | Conference | 8622 |
ISSN | Citations | PageRank |
0302-9743 | 5 | 0.45 |
References | Authors | |
20 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suvadeep Hajra | 1 | 18 | 2.49 |
| Debdeep Mukhopadhyay | 2 | 28 | 2.02 |