• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.2
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• pp.75-84
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• 2008

Recently, the straightforward CRT-RSA was shown to be broken by fault attacks through many experimental results. In this paper, we analyze the fault attacks against CRT-RSA and their countermeasures, and then propose a new fault infective method resistant to the various fault attacks on CRT-RSA. In our CRT-RSA algorithm, if an error is injected in exponentiation with modulo p or q, then the error is spreaded by fault infective computation in CRT recombination operation. Our countermeasure doesn't have extra error detection procedure based on decision tests and doesn't use public parameter such as e. Also, the computational cost is effective compared to the previous secure countermeasures.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.5
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• pp.1009-1017
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• 2012

The fault injection attack has been developed to extract the secret key which is embedded in a crypto module by injecting errors during the encryption process. Especially, an attacker can find master key of AES using injection of just one byte. In this paper, we proposed a countermeasure resistant to the these fault attacks by checking the differences between input and output. Using computer simulation, we also verified that the proposed AES implementation resistant to fault attack shows better fault detection ratio than previous other methods and has small computational overheads.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.5
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• pp.859-865
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• 2013

Esmbedded devices such as smart cards and electronic passports highly demand security of sensitive data. So, the secure implementation of the cryptographic system against various side-channel attacks are becoming more important. In particular, the fault injection attack is one of the threats to the cryptosystem and can destroy the whole system only with single pair of the plain and cipher texts. Therefore, the implementors must consider seriously the attack. Several techniques for preventing fault injection attacks were introduced to a variety of the cryptosystem, But the countermeasures are still inefficient to be applied to the classical RSA cryptosystem. This paper introduces an efficient countermeasure against the fault injection attack for the classical RSA cryptosystem, which is based on the famous Fermat's theorem. The proposed countermeasure has the advantage that it has less computational overhead, compared with the previous countermeasures.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.239-242
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• 2016

데이터베이스 기반 자동 주소번역은 입력 오류에 취약하며 범용 기계번역을 이용한 주소번역은 입력 및 번역 주소에 대한 품질 평가가 어렵다. 본 논문에서는 예측할 수 없는 입력 오류에도 대응할 수 있는 자동 주소번역 시스템을 제안한다. 제안 시스템은 n-gram 기반 검색, 미검색/오검색 분류, 번역, 신뢰도 자동평가로 구성된다. 신뢰할 수 있는 입력으로 자동 분류한 영문 국내주소를 국문으로 번역한 결과 95%이상의 정확도를 보였다.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.32 no.6
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• pp.51-56
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• 2014

• Communications for Statistical Applications and Methods
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• v.18 no.3
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• pp.343-355
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• 2011

For a data with the assumption of the mixture distribution, it is important to find an appropriate threshold and evaluate its performance. The relationship is found of well-known nine classification accuracy measures such as MVD, Youden's index, the closest-to-(0, 1) criterion, the amended closest-to-(0, 1) criterion, SSS, symmetry point, accuracy area, TA, TR. Then some conditions of these measures are categorized into seven groups. Under the normal mixture assumption, we calculate thresholds based on these measures and obtain the corresponding type I and II errors. We could explore that which classification measure has minimum type I and II errors for estimated mixture distribution to understand the strength and weakness of these classification measures.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.4
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• pp.83-90
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• 2010

The demands of analysis for the physical errors of systems and prediction system using this has increased steadily with computing environment growth linking real system just like IT Convergence. The physical errors are unpredictable because of relations of various elements such as natural phenomenon and mechanical errors. Especially, the elevator system occurs various problems because of the complexity of system so that we need to efficient approach for this. In this paper, we propose the analysis and management system for elevator based on data minining that predict the error to gather information about physical or natural phenomenon. This helps actively responding in early stage and saving lives through prediction of error and an early warning for just such an eventuality.

• Journal of Advanced Navigation Technology
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• v.11 no.4
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• pp.485-492
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• 2007

In this paper, we propose the receiver block error detection of the video codec and the image concealment algorithm using fuzzy inference. The proposed error detection and concealment algorithm gets SSD(Summation of Squared Difference) and BMC(Boundary Matching Coefficient) using the temporal and spatial similarity between corresponded blocks in the two successive frames. Proportional constant, ${\alpha}$, for threshold value, TH1 and TH2, is decided after fuzzy data is generated by each parameter. To examine the propriety of the proposed algorithm, random errors are inserted into the QCIF Susie standard image, then the error detection and concealment performance is simulated. To evaluate the efficiency of the algorithm, image quality is evaluated by PSNR for the error detection and concealed image by the existing VLC table and by the proposed method. In the experimental results, the error detection algorithm could detect all of the inserted error, the image quality is improved over 15dB after the error concealment compare to existing error detection algorithm.

• Journal of The Korean Association For Science Education
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• v.30 no.8
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• pp.1044-1059
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• 2010

In this study, we investigated the influences of the method of using analogy on concept understanding, mapping understanding, and mapping error by analogical reasoning ability level. We also investigated students' perception of a role-playing analogy activity. Seventh graders (N=152) at a middle school were assigned to the comparison and the experimental groups. The students of the experimental group were taught about 'the relation between pressure and volume of gas' with experience-based role-playing analogy, while those of the comparison group were taught with explanation-centered analogy. Analyses of the results revealed that the instruction using roleplaying analogy was more effective in concept understanding and retention of mapping understanding than explanation-centered analogy instruction, regardless of analogical reasoning ability level. It was also found that the students of the experimental group had fewer mapping errors than those of the comparison group. However, there was little difference in t pes of mapping errors by the method of using analogy. The students of the experimental group answered that they did not have difficulties in performing the role-playing analogy activity and they actively engaged in the activity. They perceived that the role-playing analogy activity was interesting. Educational implication of these findings are discussed.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.668-680
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• 2010

In this study, we investigated the characteristics, the mapping understanding, the mapping errors, and the perceptions of student-generated analogies on the separation of mixtures using the sizes of particles by elementary school students' approaches to learning. Fourth graders (N=92) were selected and administered with the tests on the approaches to learning, self-generating analogies, and perception of self-generating analogies. The results revealed that the meaningful learners made more analogies, especially structural/functional, enriched, and higher systematic ones than the rote learners. However, there were little difference in students' approaches to learning in the subcategories of representation (verbal, pictorial, and verbal/pictorial), artificiality (artificial and everyday), and abstraction (abstract and concrete). The meaningful learners had deeper understanding of the analogy and fewer mapping errors than the rote learners. In addition, the numbers of the shared attributes included in student-generated analogies and the scores of the mapping understanding of the meaningful learners were significantly higher than those of the rote learners. Many students, regardless of students' approaches to learning, had positive perceptions of the self-generating analogies in various cognitive and motivational aspects. However, they also point out the various difficulties in the self-generating analogies as their disadvantages. Educational implications of these findings are discussed.