주성분 분석을 이용한 전력 분석 공격의 성능 향상The Performance Advancement of Power Analysis Attack Using Principal Component Analysis
- Other Titles
- The Performance Advancement of Power Analysis Attack Using Principal Component Analysis
- Authors
- 김희석; 김현민; 박일환; 김창균; 류희수; 박영호
- Issue Date
- 2010
- Publisher
- 한국정보보호학회
- Keywords
- Side Channel Attack; Signal Compression; Principal component Analysis
- Citation
- 정보보호학회논문지, v.20, no.6, pp.15 - 21
- Indexed
- KCI
- Journal Title
- 정보보호학회논문지
- Volume
- 20
- Number
- 6
- Start Page
- 15
- End Page
- 21
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/117665
- ISSN
- 1598-3986
- Abstract
- In the recent years, various researches about the signal processing have been presented to improve the performance of power analysis. Among these signal processing techniques, the research about the signal compression is not enough than a signal alignment and a noise reduction; even though that can reduce considerably the computation time for the power analysis. But, the existing compression method can sometimes reduce the performance of the power analysis because those are the unsophisticated method not considering the characteristic of the signal. In this paper, we propose the new PCA (principal component analysis)-based signal compression method, which can block the loss of the meaningful factor of the original signal as much as possible, considering the characteristic of the signal. Also, we prove the performance of our method by carrying out the experiment.
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Collections - Graduate School > Department of Cyber Security > 1. Journal Articles
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