• Title/Summary/Keyword: 데이터 리덕션

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Improved Side Channel Attack using Restricted Number of Traces on RSA-CRT (제한된 파형을 이용한 향상된 RSA-CRT 부채널 분석)

  • Park, Jong-Yeon;Han, Dong-Guk;Yi, Ok-Yeon;Choi, Doo-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1016-1019
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    • 2011
  • RSA-CRT 알고리즘은 RSA 의 지수승 연산의 효율성을 향상시키기 위해 널리 사용되고 있으며, CRT 를 적용한 알고리즘은 다양한 방법의 부채널 분석(Side Channel Analysis)으로부터 약점이 노출되어 왔다. 그 중 Boer 등에 의해 발표된 MRED 분석 방법은, 등 간격의 데이터(Equidistant Data)를 이용하여 CRT 의 모듈러 리덕션 연산(Modular Reduction)결과로부터의 약점을 활용하여 일반적인 DPA 분석 법을 적용시킨 방법이다. 우리는 리덕션 결과의 데이터에 의존한 분석에서 벗어나, 리덕션 알고리즘 중간 연산 과정을 공격하는 새로운 공격 방법을 개발하였으며, 새로운 공격은 오직 "$256{\times}n$개"의 파형만으로 키 공간을 상당히 줄일 수 있기 때문에, 제한된 평문 수에서 이전에 알려져 있던 일반적인 MRED 분석 방법보다 향상된 분석 성능을 제공한다. 본 논문은 리더션 연산과정을 이용한 새로운 전력 분석 방법을 실제 MCU Chip 을 이용한 분석 결과를 제안한다.

Algorithm of Adaptive Noise Reduction with Modified Sigma Filter for Reduction of Edge Blurring and Minute Noises (윤곽선 훼손 방지 및 미세잡음 제거를 위한 Modified Sigma Filter를 이용한 적응적 잡음 제거장치 알고리즘)

  • Yang, Jeong-Ju;Han, Hag-Yong;Yang, Hoon-Gee;Kang, Bong-Soon;Lee, Gi-Dong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.10
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    • pp.2261-2268
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    • 2010
  • The information captured by imaging devices such as CCD or CIS may contain external noises through the processes of passing signals or storing images. In this paper, we propose a Modified Sigma Filter (MSF) algorithm to reduce such noises. In experiment, we verified that our MSF algorithm showed better performance in PSNR and 1D plot of simulation results compared with Gaussian Filter (GF), Local Sigma Filter (LSF). Tested images include random Gaussian Noises.

Data Reduction on the Air-side Heat Transfer Coefficients of Heat Exchangers under Dehumidifying Conditions (제습이 수반된 공조용 증발기 습표면의 열전달계수 데이터 리덕션)

  • Kim, Nae-Hyun;Oh, Wang-Kyu;Cho, Jin-Pyo;Park, Hwan-Young;Yoon, Baek
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.15 no.1
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    • pp.73-85
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    • 2003
  • Four different methods of reducing the heat transfer coefficients from experimental data under dehumidifying conditions are compared. The four methods consist of two different heat and mass transfer models and two different fin efficiency models. Data are obtained from two heat exchanger samples having plain fins or wave fins. Comparison of the data with the reduction methods revealed that the single potential heat and mass transfer model yielded the humidity independent heat transfer coefficients. Two different fin efficiency models - enthalpy model and humidity model - yielded approximately the same fin efficiencies and accordingly approximately the same heat transfer coefficients. The heat transfer coefficients under wet conditions were approximately the same as those of the dry conditions for the plain fin configuration. For the wave fin configuration, however, wet surface heat transfer coefficients were approximately 12% higher. The pressure drops of the wet surface were 10% to 45% larger than those of the dry surface.

Foundation Modeling Considering the Soil-Structure Interaction (지반-구조물 상호작용을 고려한 기초모델링)

  • Lee, Yong-Jei;Kim, Tae-Jin;Maria, Feng
    • Journal of the Earthquake Engineering Society of Korea
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    • v.16 no.3
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    • pp.13-22
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    • 2012
  • Even with its significant influence on the dynamic analysis and foundation design of structures, sometimes the soil-structure interaction has been ignored during the design process. One of the reasons is due to the fact that the modeling procedures are too complicated to meet the requirements in practice. In this study, using the Cali(IT)2 building in California with high and frequent seismic activities, the analysis differences for different boundary conditions are reviewed. The Beam on Nonlinear Winkler Foundation Model, one of the foundation modeling methods, is modified for easy use by the Linear Matrix Inequalities Model Reduction Technique. The product of the proposed process is applied to create the Finite Element Model. The results show fairly good agreement with the real data acquired from the Cal(IT)2 building.