• The KIPS Transactions:PartC
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• v.17C no.1
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• pp.47-60
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• 2010

Randomness is a basic security evaluation item for the most cryptographic algorithms. NIST has proposed a statistical test suit for random number generators for cryptographic applications in the process of AES project. However the test suit of NIST is customized to block ciphers which have the same input and output lengths. It needs to revise NIST's test suit for key derivation functions which have multiple output blocks. In this paper we propose a revised method of NIST's statistical randomness test adequate to the most key derivation functions and some experimental results for key derivation functions of 3GSM and NIST.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.476-481
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• 2015

We have parallelized the cumulative sum (CUSUM) test of NIST's statistical random number test suite in a CUDA environment. Storing random walks in an array instead of in scalar variables eliminates data dependence. The change in data structure makes it possible to apply parallel scans, scatters, and reductions at each stage of the test. In addition, serial data exchanges between CPU and GPU are removed by migrating CPU's tasks to GPU. Finally we have optimized global memory accesses. The overall speedup is 23 times over the sequential version. Our results contribute to improving security of random numbers for cryptographic keys as well as reducing the time for evaluation of randomness.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.35-41
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• 2016

As software is very important, modern men are interesting software quality testing. In this paper, we analyze the Internation standard and Test data, so, we propose the testing method by analysing testing data. We compare ISO/IEC 9126-2 testing model with ISO/IEC 25023 testing model. On the basis of ISO/IEC 25023, we classify the test data and we analyze the difference of International Standard to functionality, reliability, usability, efficiency, maintainability, portability, compatability, and security. By reality 331 testing data, we classify test data, and analyze difference according to sex. We find regression model by functionality, usability and testing date and we prove difference of testing date and the number of error by tester. Also, we prove difference of the number of error in software type.

• Korean Security Journal
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• no.62
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• pp.277-293
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• 2020

The purpose of this study is to select the talented and competent personal caregiver personnel through a professional and rational inspection system, and to provide safer personal care services to the public so that the people who are eligible for service can lead a safe life. The purpose of this study is to cultivate qualified and competent personal guardian personnel and provide professional and stable services to the people so that the people who can use the service can lead a safer life. In order to grow into a system that meets the objectives of the personal guardian qualification screening system, it must be revised and supplemented from various evaluation methods. The improvement measures related to the practical test of the system for qualifying personal guardians are as follows. First, the fitness evaluation items should be added. Second, it is necessary to reestablish the test technology. (Remove technology that causes the second threat) (Adds skills that can be used as civilian status) Third, the fallout and application action must be added. Fourth, evaluation in various starting positions is necessary. Fifth, evaluation should be made by diversifying the distance and direction with the opponent.

• Convergence Security Journal
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• v.2 no.2
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• pp.199-207
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• 2002

Comes in into recent times and there is on with a level where the attack against the computer virus and the hacking which stand is serious. The recently computer virus specific event knows is the substantial damage it will be able to occur from our life inside is a possibility of feeling. The virus which appears specially in 1999 year after seemed the change which is various, also the virus of the form which progresses appeared plentifully The part virus does it uses the password anger technique which relocates the cord of the oneself. Hereupon consequently the vaccine programs in older decode anger to do the password anger of the virus again are using emulation engine. The password anger technique which the like this virus is complicated and decode anger technique follow in type of O.S. and the type is various. It uses a multi emulation engine branch operation setup consequently from one system and to respect it will be able to use a multiple operation setup together it will use the VMware which is an application software which it does as a favor there is a possibility where it will plan 'Virus Test Simulation' and it will embody.

• Journal of Korean Society of societal Security
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• v.2 no.3
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• pp.55-60
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• 2009

After applying the fiber cocktail(polypropylene and steel fibers) into the mixture of high strength concrete with a compressive strength of 50 MP, the fire test was carried out on specimens in order to evaluate the fire resistance performance, such as possible explosive spalling, temperature distributions of concrete and rebar. According to an enforcement ordinance, four column specimens were exposed to the fire for 180 minutes based on the standard curve of ISO-834. No explosive spalling has been observed. The required minimum quantity of polypropylene to prevent explosive spalling is more than 0.57 kg per unit concrete volume. The comparing test results from temperature distributions of concrete and rebar has found that the difference of fiber quantity is insignificant.

• Journal of Korean Society of Disaster and Security
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• v.10 no.1
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• pp.11-17
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• 2017

The case study on ground subsidence was conducted and the cause of ground subsidence was evaluated, main cause were insufficient site exploration, inaccurate strength parameters, defective temporary wall, insufficient reaction for boiling and heaving, excessive excavation and so on. Risk factors during excavation were identified from the cause of ground subsidence and risk factors were site exploration, selecting excavation method, structure analysis, measurement plan, excavation method construction, underground water level change, natural disaster and construction management. The survey of the experts on risk factors identified was conducted to evaluate the importance of risk factors, and confidence analysis was performed to evaluate the significance level between survey result and survey respondent using Chi-square Test.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.587-604
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• 2021

Because the library cannot be run independently and used by many applications, it is important to detect vulnerabilities in the library. Fuzzing, which is a dynamic analysis, is used to discover vulnerabilities for the library. Although this fuzzing technique shows excellent results in terms of code coverage and unique crash counts, it is difficult to apply its effects to library fuzzing. In particular, a fuzzing executable and a seed corpus are needed that execute the library code by calling a specific function sequence and passing the input of the fuzzer to reproduce the various states of the library. Generating the fuzzing environment such as fuzzing executable and a seed corpus is challenging because it requires both understanding about the library and fuzzing knowledge. We propose a novel method to improve the ease of library fuzzing and enhance code coverage and crash detection performance by using a test framework. The systems's performance in this paper was applied to nine open-source libraries and was verified through comparison with previous studies.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.3-11
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• 2004

The XML has been becoming a basis of the related application and industry standards with proliferation of electronic transactions on the web, and the standardization on XML Signature, which can be applied to the digital contents including XML objects from one or more sources, is in the progress through a joint effort of W3C(World Wide Web Consortium) and IETF(Internet Engineering Task Force). Along with this trend, the development of products implementing XML Signature has been growing, and the XML Signature products are required to implement the relevant standards correctly to guarantee the interoperability among different XML Signature products. In this paper, we propose a conformance testing method for testing the XML Signature products, which includes a testing procedure and test cases. The test cases were obtained through analysis of XML Signature standards. Finally we describe the design and uses of our XML Signature conformance testing tools which implements our testing method.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.214-222
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• 2022

Convolutional Neural networks (CNNs) are a category of deep learning networks that have proven very effective in computer vision tasks such as image classification. Notwithstanding, not much has been seen in its use for remote sensing image classification in developing countries. This is majorly due to the scarcity of training data. Recently, transfer learning technique has successfully been used to develop state-of-the art models for remote sensing (RS) image classification tasks using training and testing data from well-known RS data repositories. However, the ability of such model to classify RS test data from a different dataset has not been sufficiently investigated. In this paper, we propose a deep CNN model that can classify RS test data from a dataset different from the training dataset. To achieve our objective, we first, re-trained a ResNet-50 model using EuroSAT, a large-scale RS dataset to develop a base model then we integrated Augmentation and Ensemble learning to improve its generalization ability. We further experimented on the ability of this model to classify a novel dataset (Nig_Images). The final classification results shows that our model achieves a 96% and 80% accuracy on EuroSAT and Nig_Images test data respectively. Adequate knowledge and usage of this framework is expected to encourage research and the usage of deep CNNs for land cover mapping in cases of lack of training data as obtainable in developing countries.