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마스킹 기법이 적용된 SEED 알고리즘에 대한 취약점 분석
김태원(TaeWon Kim),장남수(Nam Su Chang) 한국정보보호학회 2015 정보보호학회논문지 Vol.25 No.4
전력분석의 대응기법으로 가장 널리 알려진 마스킹 기법은 암호 알고리즘 수행 도중 비밀 중간 값을 노출시키지 않게 함으로써 공격자가 필요한 정보를 얻지 못하도록 한다. 마스킹 기법은 대칭키 암호 알고리즘에 적용되어 많은 연구가 진행되었다. 국제표준 알고리즘인 SEED 알고리즘에 대해 마스킹 대응기법 연구가 진행되었다. Cho 등이 제안한 Masked SEED 알고리즘은 1차 전력분석에 안전할 뿐만 아니라 Arithmetic to Boolean 변형 함수의 호출을 줄임으로써 효율성까지 만족시켰다. 본 논문에서는 Cho 등이 제안한 Masked SEED에 대한 취약점을 분석하였다. 효율적인 연산을 위해 추가로 수행되는 사전연산에 의해 마스크 값이 노출되고 이를 이용하여 1차 전력분석 공격으로 비밀키를 복원하였다. 우리는 이론적인 측면과 실험적인 측면을 모두 고려하여 취약점을 분석하였으며 제안한 공격기법은 Cho 등이 제안한 알고리즘이 탑재된 모든 디바이스에서 공통적으로 적용될 수 있음을 예상한다. Masking technique that is most widely known as countermeasure against power analysis attack prevents leakage for sensitive information during the implementations of cryptography algorithm. it have been studied extensively until now applied on block cipher algorithms. Masking countermeasure have been applied to international standard SEED algorithm. Masked SEED algorithm proposed by Cho et al , not only protects against first order power analysis attacks but also efficient by reducing the execution of Arithmetic to Boolean converting function. In this paper, we analyze the vulnerability of Cho’s algorithm against first order power analysis attacks. We targeted additional pre-computation to improve the efficiency in order to recover the random mask value being exploited in first order power analysis attacks. We describe weakness by considering both theoretical and practical aspects and are expecting to apply on every device equipped with cho’s algorithm using the proposed attack method.
정태원(Taewon Jung),남유선(Youseon Nam),윤소연(Soyeon Yoon),하광수(Kwangsoo Ha) 한국HCI학회 2019 한국HCI학회 학술대회 Vol.2019 No.2
현 사회의 높아진 생활수준과는 다르게 재난 대비에 관한 교육과 국민들의 안전 의식은 아직까지 그에 미치지 못하고 있다. 산업구조와 사회구조가 빠르고 복잡하게 변화함에 따라 재난의 형태도 다양해지고 있어, 재난 안전을 위한 교육의 중요성 또한 점차 강조되고 있다. 그러나 이러한 교육은 대다수 형식적인 수준에 머물러 있어, 실질적인 교육의 효과를 기대하기 힘들다고 볼 수 있다. 이에 현재 실시되고 있는 재난안전 교육에 대한 본질적인 변화가 필요하다고 판단하였고, 반복 교육을 통한 안전의식 형성에 최적의 시기인 아동기의 교육을 중심으로 연구를 진행하였다. 연구의 진행 순서는 첫째, 재난안전 교육의 현황을 살펴보고 이에 적합한 체험형 교육 사례를 선정한 후 ARCS 모델에 따라 분석하였다. 둘째, 이를 바탕으로 현 교육의 문제점을 파악하여 나아가야할 방향을 제안하였다. 이는 재난안전 교육에 체험적 요소와 교구를 결합하여 교육의 실효성을 높이는 방향에 대한 것으로, 실제 적용 방안을 연구하고 적용하기 위한 지침으로 사용될 수 있을 것이다.
Analysis of Ink Transfer Process for R2R Printing Applications with Non-Newtonian Ink Property
Kyunghun Kim,Taewon Nam,Yang Na 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
FSI occurring in the ink transfer process from the printing to the moving web was investigated using a CFD technique for the application in R2R printed electronics. Analysis for the flow-structure interaction was conducted to assess the deflection and stress distributions of the web. In order to make the present analysis more realistic, the metallic ink was idealized by a non-Newtonian fluid and, the numerical geometry and the ink properties were selected to match those of the real printing production system. Our numerical results showed that both web handling speed and non-Newtonian assumption significantly influenced the shape of the transferred ink. As the web moving speed increased beyond 5m/min, a significant distortion of the transferred ink shape occurred. Also, non-negligible web deflection occurs in all the geometries considered in the present work but the ratio of the web deflection to the line width gets smaller as the web handling speed becomes higher.
P117 : Epidemiologic analysis on usage patterns of cosmetic products in Korea: part II
( Chan Hee Nam ),( Mi Soo Choi ),( Ji Seok Kim ),( Jee Young Kim ),( Seungphil Hong ),( Byung Cheol Park ),( Ha Krim Kim ),( Taewon Lee ),( Kyu Bong Kim ),( Myung Hwa Kim ) 대한피부과학회 2014 대한피부과학회 학술발표대회집 Vol.66 No.2
Background: Ingredients of cosmetics are able to pass in variable amount across the skin and generate adverse effects at given level of systemic exposure. Recently, cosmetic products are widely used even in adolescents and babies and the type and prevalence of cosmetic products for men are increasing prominently. Objectives: A database was created with person-oriented information regarding demographics of consumers and usage patterns for 72 kinds of cosmetics. Methods: We analyzed data from the online survey carried out 5 cities and 18,000 adults and adolescents comprising 908 males and 892 females ranged from 15 to 59 years completed the digital questionnaire. Results: - The average number of the cosmetic products which the participants use was 27.4 in women and 13.3 in men. The most commonly used products in men were shampoo, facial moisturizer and body cleanser. The use of base makeup and color makeup products of male respondents (21.7% and 32.3%, respectively) was reported to be quite higher than that of the past survey in other countries (0.5%). The average number of cosmetics for babies is 0.2 and the most commonly used products are lotion, shampoo and body cleanser. The teenagers use the average 24.1 cosmetic products and the commonly used ones in order are shampoo, lotion and hand cream. Conclusion: Our study provides valuable information on the usage pattern and exposure data of cosmetic products especially, in babies, teenagers and men
Du Sung Nam,Taewon Moon,이준우,Jung Eek Son 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.6
Environmental and growth factors are important variables that affect the transpiration rate of crops, but due to their complex nature, it is difficult to systematically use all these factors to estimate transpiration rates. Application of artificial neural networks (ANNs) can be an efficient way of deriving meaningful results from complex nonlinear data. The objectives of this study were to estimate transpiration rates using an ANN, to compare these estimations with the Penman–Monteith (P–M) equation, and to analyze the estimation accuracy according to cultivation period. Paprika (Capsicum annuum L. cv. Scirocco) was cultivated for two cropping periods in a year. Environmental factors were collected every minute and leaf area index (LAI) as a growth factor was measured every 2 weeks. An ANN consisting of an input layer using eight environmental and growth factors, five hidden layers, and an output layer for transpiration rate was constructed. The estimation accuracy in the ANN was higher than the P–M when using aerial environmental factors, but it was further increased by adding root-zone factors. Using daily average data, ANN accuracy was higher for longer cultivation periods and accompanying data. R2 values were 0.88 and 0.73 in the ANN and P–M for one year, whereas they were 0.84–0.93 and 0.79–0.83 for the individual seasons, respectively. The accuracy of the ANN tended to increase when the time step (data-averaging time unit) decreased to 10 min and there was no significant difference over 10 min. Using 10-min average data, the ANN showed high accuracies with R2 = 0.95–0.96 and root mean square error = 0.07–0.10 g m−2 min−1, regardless of cultivation period and season. Therefore, it was confirmed that the ANN could accurately estimate transpiration rates at specific times using the data collected from the entire cultivation period. This approach may be useful for developing irrigation strategies by estimating the transpiration rates of crops grown in soilless cultures.