• Convergence Security Journal
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• v.13 no.4
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• pp.53-59
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• 2013

As the hacking technology for cyber-terror and financial fraud evolves, the research and development for advanced and standardized information security technology is growing to be more and more important. In this paper, the domestic level of technology and standardization for information security as compared to advanced country is diagnosed, and future policy is presented by analyzing the influence effect for market and technology. The information security is classified into information security-based & user protection, network & system security, and application security & evaluation validation with details of OTP-based validation, smart-phone app security, and mobile electronic finance, etc. The analytic results indicate that domestic level is some poor for advanced country, the technological development and standardization capability for smart-phone app security and mobile electronic finance is needed, and finally the government's supporting policy for the future Internet is urgently needed.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.730-736
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• 2011

In this paper, we designed the models for pattern classification which can reflect the latest trend in time series. It has been shown that fusion models based on statistical and AI methods are superior to traditional ones for the pattern classification model supporting decision making. Especially, the hit rates of pattern classification models combined with fuzzy theory are relatively increased. The statistical SVM models combined with fuzzy membership function, or the models combining neural network and FCM has shown good performance. BPN, PNN, FNN, FCM, SVM, FSVM, Decision Tree, Time Series Analysis, and Regression Analysis were used for pattern classification models in the experiments of this paper. The economical indices DB with time series properties of the financial market(Korea, KOSPI200 DB) and the electrocardiogram DB of arrhythmia patients in hospital emergencies(USA, MIT-BIH DB) were used for data base.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1065-1074
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• 2011

During several decades, many researchers in the field of finance have studied Value at Risk (VaR) to measure the market risk. VaR indicates the worst loss over a target horizon such that there is a low, pre-specified probability that the actual loss will be larger (Jorion, 2006, p.106). In this paper, we compare conditional copula method with two conventional VaR forecasting methods based on simple moving average and exponentially weighted moving average for measuring the risk of the portfolio, consisting of two domestic stock indices. Through real data analysis, we conclude that the conditional copula method can improve the accuracy of portfolio VaR forecasting in the presence of high kurtosis and strong correlation in the data.

• Proceedings of the KIEE Conference
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• 2007.04b
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• pp.155-159
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• 2007

Since Jan. 2004, the Ministry of Construction and Transportation has partly introduced estimation system of historical cost data in order to reflect result cost of construction market to cost estimation for public construction. It is expected that the purpose of the introduction would be evaluated considering the long-term development of domestic construction industry. In article 3, paragraph 4 of the planning criteria of estimated cost of financial regulation related to government contract rule, the profit estimated by historical cost data indicates sales profit and it is calculated by multiplying the sum of direct cost, indirect cost and general overhead by rate of profit. Finally, it is said that rate of profit cannot exceeds 10%. However, there are a lot of constructions for electronic equipment in the electronic construction and the proportion of government furnished material is very high, not like engineering works or constructions. Therefore, as the proportion of material cost over direct cost is relatively lower if current rate of exceeds (10%) is applied, there would be a wide difference of cost in the items of profit under the estimation system of historical cost data. This paper was conducted to examine estimation methods of the items of profit under the estimation system of historical cost data and suggest reasonable applications.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.4
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• pp.827-838
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• 2018

Since 2014, ease of regulations on financial institutions expanded the mobile payment market based on simple authentication, and this resulted in the emergence of various simple payment services. Although several security solutions have been used to mitigate possible security threats to payment applications, there are vulnerabilities which can still be found due to the structure in which the security solution is applied to the payment service. In this paper, we analyze the payment application and security solution from the process perspective, and prove through experimentation that verification functions of security solutions can be bypassed without detailed analysis of each security function, but by simply manipulating the verification result value. Finally, we propose methods to mitigate the bypass method presented in this paper from three different perspectives, and thereby contribute to the improvement of security level of the payment service.

• The Journal of Information Technology
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• v.1 no.1
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• pp.155-172
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• 1998

Electronic commerce is more than just handling purchase transactions and funds transfers over the internet. Despite electronic commerce's past roots in transactions between large corporations, banks, and other financial institutions, the use of the internet as a way to bring electronic commerce to the individual consumer has led to a shift in viewpoint. Over the past few years, both the press and the business community have increased their focus on electronic commerce involving the consumer Electronic commerce includes the tasks that support the buying and selling of goods and services, and interactions among those tasks. Electronic commerce enables companies to close stores, reduce inventory requirements, and distribute products over the internet. Electronic commerce can simplify communication and change relationships The economics of electonic commerce is concernec with a new market whose delivery and communication infrastructure happens to be the internet. The economics of electronic commerce focuses on markets whose transactions are facilitated by communications networks and delivery systems. However, any digital communications media will soon be capable of supporting virtual transactions In the electronic marketplace, including telephone wires, cables, microwaves, and satellites. Thus, electronic commerce can offer your company both short-term and long-term befits. moving business practices, such as ordering, invoicing, and consumer support, to network-based systems can also reduce the paperwork involved in business-to-business transactions. This study conducted a study on economic effects of electronic commerce

• Journal of Information Technology and Architecture
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• v.9 no.1
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• pp.43-55
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• 2012

In recent years, outsourcing of information systems, including decision support systems has become a key method for managing the system portfolio of a corporation. Since the outsourced DSSs provide their own models and solvers, which may be created on the basis of different modeling practices and system platforms, the decision maker wishing to solve business problems using the outsourced DSSs frequently faces a difficulty in selecting and/or applying appropriate models and solvers to the problems on hand. This paper proposes a DSS outsourcing architecture that enables a user to discover and execute appropriate models and solvers, even though the user is not knowledgeable enough about all the details of the models and solvers. Specifically, this paper adopts a Web services approach to integrate the heterogeneous models and solvers by encapsulating individual models and solvers as Web services and hiding all system specific implementation details from the users.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6315-6324
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• 2015

This study analyses the effects of household finances on rental price of apartment in Seoul which play a major role in real estate policy. We estimate VAR models using time series data. Economy variables such as sales price of apartment in Seoul, consumer price index, hiring rate, real GNI and loan amount of housing mortgage, which relate to household finances and influence the rental price of apartment, are used for estimation. The main findings are as follows. In the short term, the rental price of apartment is impacted by economy variables. Specifically, Relative contributions of variation in rental price of apartment through structural shock of economy variables are most influenced by their own. However, in the long term, household variables are more influential to the rental price of apartment. These results are expected to contribute to establish housing price stabilization policies through understanding the relationship between economy variables and rental price of apartment.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.689-697
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• 2016

The most useful method for financial market risk management may be Value at Risk (VaR) which estimates the maximum loss amount statistically. The VaR is used as a risk measure for one industry. Many real cases estimate VaRs for many industries or nationwide industries; consequently, it is necessary to estimate the VaR for multivariate distributions when a specific portfolio is established. In this paper, the multivariate quantile vector is proposed to estimate VaR for multivariate distribution, and the Vector at Risk for multivariate space is defined based on the quantile vector. When a weight vector for a specific portfolio is given, one point among Vector at Risk could be found as the best VaR which is called as an alternative VaR. The alternative VaR proposed in this work is compared with the VaR of Morgan with bivariate and trivariate examples; in addition, some properties of the alternative VaR are also explored.

• Korean Security Journal
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• no.29
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• pp.7-34
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• 2011

Achieving high-level technology in fields such as IT-related industry, semiconductors, mobile phones, LCD, automobile, shipbuilding, etc., Korea has become an international market leader in those fields. In results, there are the increasing numbers of technology leakage attempts in various manners. Recently, technology leakages are not limited to illegal industrial espionage, but also occur during usual corporate proceedings such as technology transfer, joint research and M&A. In fact, there was a technology leakage issue in the M&A between Ssangyong Motors of Korea and Shanghai Motors of China. Current M&A regulations of Korea are not independent laws, but are spread over various laws, such as commercial law, Capital Markets and the Financial Investment Services Act, Foreign Trade Act, etc. This paper focuses on whether the current Korean regulations regarding M&A are able to effectively restrict the leakage of major information of corporate during M&A and seeks the complements.