• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.4
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• pp.3-19
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• 2009

This paper proposes efficient scalar multiplication algorithms based on Montgomery ladder method. The proposed algorithm represents the scalar as ternary or quaternary and applies new composite formulas utilizing only x coordinate on affine coordinate system in order to improve performance. Furthermore, side-channel atomicity mechanism is applied on the proposed composite formulas to prevent simple power analysis. The proposed methods saves at least 26% of running time with the reduced number of storage compared with existing algorithms such as window-based methods and comb-based methods.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.49-60
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• 2023

The amount of data generated by electronic systems through e-commerce, social networks, and data computation has risen. However, the security of data has always been a challenge. The problem is not with the quantity of data but how to secure the data by ensuring its confidentiality and privacy. Though there are several research on cloud data security, this study proposes a security scheme with the lowest execution time. The approach employs a non-linear time complexity to achieve data confidentiality and privacy. A symmetric algorithm dubbed the Non-Deterministic Cryptographic Scheme (NCS) is proposed to address the increased execution time of existing cryptographic schemes. NCS has linear time complexity with a low and unpredicted trend of execution times. It achieves confidentiality and privacy of data on the cloud by converting the plaintext into Ciphertext with a small number of iterations thereby decreasing the execution time but with high security. The algorithm is based on Good Prime Numbers, Linear Congruential Generator (LGC), Sliding Window Algorithm (SWA), and XOR gate. For the implementation in C, thirty different execution times were performed and their average was taken. A comparative analysis of the NCS was performed against AES, DES, and RSA algorithms based on key sizes of 128kb, 256kb, and 512kb using the dataset from Kaggle. The results showed the proposed NCS execution times were lower in comparison to AES, which had better execution time than DES with RSA having the longest. Contrary, to existing knowledge that execution time is relative to data size, the results obtained from the experiment indicated otherwise for the proposed NCS algorithm. With data sizes of 128kb, 256kb, and 512kb, the execution times in milliseconds were 38, 711, and 378 respectively. This validates the NCS as a Non-Deterministic Cryptographic Algorithm. The study findings hence are in support of the argument that data size does not determine the execution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3055-3073
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• 2019

In this paper, a new user identification method is presented using real environmental human-computer-interaction (HCI) behavior data to improve method usability. User behavior data in this paper are collected continuously without setting experimental scenes such as text length, action number, etc. To illustrate the characteristics of real environmental HCI data, probability density distribution and performance of keyboard and mouse data are analyzed through the random sampling method and Support Vector Machine(SVM) algorithm. Based on the analysis of HCI behavior data in a real environment, the Multiple Kernel Learning (MKL) method is first used for user HCI behavior identification due to the heterogeneity of keyboard and mouse data. All possible kernel methods are compared to determine the MKL algorithm's parameters to ensure the robustness of the algorithm. Data analysis results show that keyboard data have a narrower range of probability density distribution than mouse data. Keyboard data have better performance with a 1-min time window, while that of mouse data is achieved with a 10-min time window. Finally, experiments using the MKL algorithm with three global polynomial kernels and ten local Gaussian kernels achieve a user identification accuracy of 83.03% in a real environmental HCI dataset, which demonstrates that the proposed method achieves an encouraging performance.

• The Research Journal of the Costume Culture
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• v.10 no.5
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• pp.473-484
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• 2002

The purpose of this study is to analyze the window display in the department stores in Daejeon. The framework of execution, colors, illumination, and kinds and colon of mannequins of the window display in four department stores in Daejeon were analyzed based on the photographs of displays from January to October in 2001. The results were as follows: First, in the framework of execution, each department store used mostly the triangle-framework during four seasons, which was a fundamental framework. Its characteristics were a sense of security, three-dimensional effect, and balance. It was the most suitable framework fur the mannequins and toruso. Second, a color scheme for commodities was all no-coloring scheme in each four seasons. The color of background was mostly white which harmonized well with the colors of commodities and lights. The plan for the color scheme of window display should always executed on the commodities, and the colors should be harmonized to produce the best display effect. Moreover, when commodities had two colors, the color of background should be in one simple color that manifest the commodities, or that is secondary color to the main color of commodities. Third, all department stores used all same illumination. Lack of illumination, management, and expense incured ineffective production of the display. Fourth, mostly, real mannequins with white or skin colors were used, and the toruso was next used in department stores. The set was limited because many companies had not made new sets for the display. Therefore, new sets including mannequins should be actively developed to produce effective display.

• Smart Media Journal
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• v.4 no.4
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• pp.80-85
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• 2015

As the number of applications using the internet the rapidly increasing incidence of cyber attacks made on the internet has been increasing. In the equipment of L3 DDoS attack detection equipment in the world and incomplete detection of application layer based intelligent. Next-generation networks domestic product in high-performance wired and wireless network threat response techniques to meet the diverse requirements of the security solution is to close one performance is insufficient compared to the situation in terms of functionality foreign products, malicious code detection and signature generation research primarily related to has progressed malware detection and analysis of the research center operating in Window OS. In this paper, we describe the current status survey and analysis of the latest variety of new attack techniques and analytical skills with the latest cyber-attack analysis prejudice the security situation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.1
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• pp.167-175
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• 2011

As recent emergence of smart phones, mobile services are growing in various forms. Many companies released smart phones of various operating systems such as Window Mobile, Android and iOS. Currently, most popular smart phone operating systems are Android and iOS. Due to the various features of these smart phone, they can be employed to various crimes. From the point of view of digital forensics, this paper analyzes the evidence data which needs to be collected in the smart phone, and implements the evidence analysis tool. By using this tool, it can reduce the time and effort for collecting and analyzing the evidence of the smart phone.

• The Journal of Sustainable Design and Educational Environment Research
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• v.3 no.1
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• pp.46-59
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• 2003

In this study, analyzing class method, curriculum and demand performance of materials and user according to the 7th educational curriculum which, it is surveyed that materials design performance standards of floor and window suitable to future educational environment. Based on this study, It is needed for development of special materials suitable educational facilities, making standards fitting demand, study of variable and special field for educational facilities, study for security of objective data of materials, study of performance evaluation method subdivided, and desirable positive use of intimate environmental materials.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.4
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• pp.99-114
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• 2002

Improved algorithms for elliptic scalar multiplication secure against side-channel attacks, such as timing and power analysis, are presented and analyzed. We first point out some potential security flaws often overlooked in most previous algorithms and then present a simple $\pm$1-signed encoding scheme that can be used to enhance the security and performance of existing algorithms. More specifically, we propose concrete signed binary and window algorithms based on the proposed $\pm$ 1-signed encoding and analyze their security and performance. The proposed algorithms are shown to be more robust and efficient than previous algorithms.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.524-527
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• 2002

본 연구에서는 Support Vector Machine(SVM)을 이용한 호스트 기반 침임 탐지 방법을 제안한다. 침입 탐지는 침입과 정상을 판단하는 이진분류 문제이므로 이진분류에 뛰어난 성능을 발휘하는 SVM을 이용하여 침입 탐지 시스템을 구현하였다. 먼저 감사자료를 system call level에서 분석한 후, sliding window기법에 의해 패턴 feature를 추출하고 training set을 구성하였다. 여기에 SVM을 적용하여 decision model을 생성하였고, 이에 대한 판정 테스트 결과 90% 이상의 높은 침입탐지 적중률을 보였다.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1996.11a
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• pp.151-159
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• 1996

본 논문에서는 right-to-left 형태의 멱승 연산에 적합한 고속 모듈라 감소 알고리듬을 제안하고 이를 여러 멱승 방식에 적용했을 경우의 계산 속도 및 메모리 사용효율을 기존의 방식들과 비교하였다. 분석 결과, 기존의 방식보다 고속으로 멱승을 수행할 수 있고 m-ary 방식이나 window 방식에서는 사용 메모리를 줄일 수 있다.