• Journal of KIISE:Computing Practices and Letters
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• v.14 no.8
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• pp.773-777
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• 2008

Today's mobile devices have characteristic of random mobility in the heterogeneous networks. Thus they should have various kinds of security requirements. To satisfy these requirements, there are many researches on security and authentication for mobile devices. TCG(Trusted Computing Group) designed TPM(Trusted Platform Module) for providing privacy and authentication to users. Also TCG suggest a protocol, called DAA(Direct Anonymous Attestation) which uses zero knowledge proof theory. In this paper, we will implement DAA protocol using Java and show the efficiency and the problems in the DAA protocol. Finally, we will suggest an efficient mobile DAA model through Java test module for the DAA protocol.

• Convergence Security Journal
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• v.7 no.3
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• pp.7-13
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous poission process (ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the superposition model, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics for the sake of efficient model, was employed.

• Journal of Korean Society of societal Security
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• v.2 no.3
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• pp.39-46
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• 2009

A small loop-loop multi-frequency electromagnetic(EM) induction method is a useful technique to map a resistivity distribution efficiently and non-destructively. However, for quantitative interpretation and depth sounding, the quality of measured data is crucial. In this paper, we propose a bias correction of measured data by using background noise measurements to obtain reliable data, and propose an evaluation technique of apparent that can provide a resistivity image easily. We have performed small loop-loop EM measurements to detect water saturation in a man-made test site. The application of our proposed techniques to the measured data was successful.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.27-29
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• 2015

Based on IALA guidelines, the fundamental requirements of radar system for vessel traffic services are analyzed in this paper. target separation, target position accuracy, target track accuracy of X-band radar and recommended test conditions are analyzed. Also, in order to check if it satisfies the requirement of target position accuracy from IALA guideline, the test is carried out through processing of radar raw image acquired at VTS center.

• Convergence Security Journal
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• v.11 no.3
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• pp.19-24
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• 2011

Software failure time presented in the literature exhibit either constant monotonic increasing or monotonic decreasing, For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. In this study, time series analys is used in the simple moving average and weighted moving averages, exponential smoothing method for predict the future failure times, Empirical analysis used interval failure time for the prediction of this model. Model selection using the mean square error was presented for effective comparison.

• Convergence Security Journal
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• v.8 no.2
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• pp.35-40
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• 2008

Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. The used software failure time data for forecasting failure time is random number of Weibull distribution(shaper parameter 1, scale parameter 0.5), Using this data, we are proposed to ARIMA(AR(1)) and simulation method for forecasting failure time. The practical ARIMA method is presented.

• Convergence Security Journal
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• v.12 no.3
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• pp.115-121
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• 2012

Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offers information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. In this study, we predict the future failure time by using the curve regression analysis where the s-curve, growth, and Logistic model is used. The proposed prediction method analysis used failure time for the prediction of this model. Model selection using the coefficient of determination and the mean square error were presented for effective comparison.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.576-585
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• 2014

Collecting and utilizing have a huge amount of personal data have caused severe security issues such as leakage of personal information. Several encryption algorithms for collected personal information have been widely adopted to prevent such problems. In this paper, a novel algorithm based on MapReduce is proposed for encrypting such private information. Furthermore, test environment has been built for the performance verification of the distributed encryption processing method. As the result of the test, average time efficiency has improved to 15.3% compare to encryption processing of token server and 3.13% compare to parallel processing.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.365-374
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• 2021

This study set off to explore the effect of interactive videos on developing mind mappings skills required for the common first-joint year students at Umm Al-Qura University. Towards this end, the experimental research design of a quasi-experimental of two experimental groups was adopted. The research tools consisted of an achievement test of the cognitive aspects of mind mapping skills and a product evaluation form of mind mapping skills. Results showed statistically significant differences at the significance level (α 0.05) between the mean scores of the two experimental groups who studied the educational video regardless of the type of video in the pre-post cognitive test of the mind mapping skills and the form of product evaluation. Besides, there are statistically significant differences at the significance level (0.05≥α) between the mean scores of the first experimental group who studied the conventional educational video and the mean scores of the second experimental group who studied the interactive educational video. This significant difference was in the posttest of mind mapping skills and in favor of the group who studied the interactive educational video. Nevertheless, there were no statistically significant differences at the significance level (0.05≥α) between the mean scores of the first and second experimental groups in the post-application of the product evaluation form of mind mapping skills. The researcher recommended using the interactive video in teaching courses to common first-year students. It also recommends organizing courses for the faculty members to train them on using interactive videos in their teaching.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.9 no.4
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• pp.71-84
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• 1999

The randomness test for a sequence from an encription algorithm has an important role to make differences between plain and cipher text. Thus it is necessary to investigate and analyze the currently used randomness tests. Also in real time point of views it would be helpful to know a minimum sample size which gives discernment of plain and cipher text. In this paper we analyze the rate of successes for widely used nonparametric randomness tests to discern plain and cipher text through experiments. Moreover for given sample sizes an optimal sample size for each randomness test is proposed using the design of experiments.