Technology Strategy Research Division

Yuseong gu, South Korea

Technology Strategy Research Division

Yuseong gu, South Korea

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Shin S.,Attached Institute of ETRI | Lee S.,Technology Strategy Research Division | Kim H.,Kyungil University | Kim S.,Applied Technology Internet
Expert Systems with Applications | Year: 2013

Recently, as damage caused by Internet threats has increased significantly, one of the major challenges is to accurately predict the period and severity of threats. In this study, a novel probabilistic approach is proposed effectively to forecast and detect network intrusions. It uses a Markov chain for probabilistic modeling of abnormal events in network systems. First, to define the network states, we perform K-means clustering, and then we introduce the concept of an outlier factor. Based on the defined states, the degree of abnormality of the incoming data is stochastically measured in real-time. The performance of the proposed approach is evaluated through experiments using the well-known DARPA 2000 data set and further analyzes. The proposed approach achieves high detection performance while representing the level of attacks in stages. In particular, our approach is shown to be very robust to training data sets and the number of states in the Markov model. © 2012 Elsevier Ltd. All rights reserved.


Park C.,Yeungnam University | Han S.-S.,Technology Strategy Research Division | Seok W.-H.,Yeungnam University
ETRI Journal | Year: 2010

This paper qualitatively and quantitatively examines the effectiveness of regulations currently in place in the Korean mobile telecommunications market by comparing their intended objectives with the actual outcome, particularly with respect to the performance of market participants. The results show that the regulations have generally been effective in lowering the average revenue per user of carriers. However, the managed competition efforts of the government have also resulted in increased revenues for the top two carriers in the market without significantly affecting their general business operations. © 2010 ETRI.


Lee K.,Ajou University | Song Y.,Technology Strategy Research Division | Lee S.,Ajou University
DCNET 2012, ICE-B 2012, OPTICS 2012 - Proceedings of the International Conference on Data Communication Networking, e-Business and Optical Communication Systems, ICETE | Year: 2012

Over the last few years, there have been huge efforts to forecast the technological future and emerging technologies, as an attempt to increase R&D efficiency within a limited budget. Therefore, this research purposes to develop a methodology for identifying new and promising technologies and apply it to the field of e-business. Unlike the previous studies taking a technology-driven approach, we take a needs-driven approach starting from future needs and derive a necessary technology to meet the needs. For this purpose, we firstly consider the future major using STEEP analysis. Secondly, the prospective social needs are derived from each major issue and then, the technologies required to meet the core needs are deduced to be a candidate of emerging technologies. Finally, the candidate technologies are evaluated from the viewpoint of feasibility and issues-relatedness, based on which the top 10 most important emerging technologies are determined. The suggested methodology is expected to be utilized as a valuable tool for discovering emerging technologies when considering IT is evolved not only in the form of technology-driven but also in the form of market-driven.


Jeon H.,Technology Strategy Research Division | Shin Y.,Technology Strategy Research Division | Choi M.,KAIST | Rho J.J.,KAIST | Kim M.S.,Applied Technology Internet
ETRI Journal | Year: 2011

As information technology rapidly develops and the period required to enter new technology shortens, there emerges a wide variety of alternatives for consumers. When there are many alternatives in the market, users choose after making comparisons. This process of making comparisons is our research key. We established a research model to find a mixed effect that comes from new attitudes to technology adoption and alternative's continuous usage intention. The effect is revealed through a relative attractiveness (RA) factor to explain a user's process of comparison. We empirically test our research model in the new media services, such as mobile TV, web TV, and mobile IPTV. According to our research results, a continuous usage intention of an existing technology is an important factor to explain the adoption of a new technology. So, the contribution of our research is in finding a role for the RA factor in research in new technology adoption. © 2011 ETRI.


Cho E.J.,Technology Strategy Research Division | Park M.C.,KAIST
ETRI Journal | Year: 2011

This paper evaluates the efficiency of mobile content firms through a hybrid approach combining data envelopment analysis (DEA) to analyze the relative efficiency and performance of firms and principal component analysis (PCA) to analyze data structures. We performed a DEA using the total amount of assets, operating costs, employees, and years in business as inputs, and revenue as output. We calculated fifteen combinations of DEA efficiency in the mobile content firms. We performed a PCA on the results of the fifteen DEA models, dividing the mobile content firms into those having either 'asset-oriented' or 'manpower and experience-oriented' efficiency. Discriminant analysis was used to validate the relationship between the efficiency models and mobile content types. This paper contributes toward the construction of a framework that combines the DEA and PCA approaches in mobile content firms for use in comprehensive measurements. Such a framework has the potential to present major factors of efficiency for sustainable management in mobile content firms and to aid in planning mobile content industry policies. © 2011 ETRI.


Bae Y.-G.,KAIST | Kong H.-K.,Technology Strategy Research Division
Communications in Computer and Information Science | Year: 2010

Convergence is a term which often used to explain the change of current society, but the meaning of the convergence differs according to the context. This paper defines convergence based on other research and analyzes 40 articles about convergence in the ICT area. Each paper was gathered from journals and databases in August of 2010 and was analyzed through a qualitative meta-analysis method based on the PEST concept. The result of the meta-analysis can be used to understand the current trends in convergence in ICT environments and to develop a future convergence strategy. © 2010 Springer-Verlag.


Hwang S.-H.,Technology Strategy Research Division | Yeon S.-J.,Technology Strategy Research Division
Communications in Computer and Information Science | Year: 2010

In this paper, we use patent statistics as the recent status of R&D in international patents. The number of patents was used to compare different countries' share in the overall number of technology patents. Using the degree of patent citations, the influence and technological prowess of patents were examined. Also, implications were drawn from an analysis of patent contents for realistic media. © 2010 Springer-Verlag.


Shin Y.,Technology Strategy Research Division | Jeon H.,Technology Strategy Research Division | Choi M.,KAIST
Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 | Year: 2011

We suggest a value market segmentation method for high-tech markets. Our research scope is the mobile handset market, which has the technology characteristics of a high-tech industry such as short cycle innovations, short technology development periods, and quick changes in customer needs. Thus, researchers and company strategists would use value or benefit segmentation method for high-tech market segmenting, because the characteristics may react to frequent changes. A value based market segmenting items are stable items for a long time, and so precisely explain customer needs. Specially, values related with product's attributes have been shown to be more powerful items. In this paper, we try to show the superiority of a value market segmentation method through a Korean mobile handset market empirical case study. © 2011 AICIT.


Kim P.R.,Technology Strategy Research Division | Kim P.R.,Korean University of Science and Technology | Hwang S.H.,Catholic University of Daegu
ETRI Journal | Year: 2012

It is becoming increasingly difficult to identify promising technologies due to the influx of new technologies and the high level of complexity involved in many of these technologies. Identifying promising information and communications technology (ICT)-based converging technologies holds the key to finding new sources of economic growth and forward momentum. The goal of this study is to identify cutting-edge ICT-based converging technologies by examining the latest trends in the US patent market. Analyzing the US patent market, the most competitive of such markets in the world, can yield certain clues about which of the ICT-based converging technologies may be the next revolutionary technologies. For a classification of these technologies, this study follows the International Patent Classification system. As for ICT, there are 58 related fields at the subclass level and 831 fields at the main-group level. For emerging and converging technologies, there are 75 at the main-group level. From these technologies, a final selection for cutting-edge ICT-based converging technologies is made using a composite index reflecting the converging coefficient, emerging coefficient, and technology impact index. © 2012 ETRI.


Song Y.-K.,Technology Strategy Research Division | Zo H.,Korea Advanced Institute of Science and Technology | Lee S.,Ajou University
ETRI Journal | Year: 2012

As mobile markets in most developed countries are rapidly coming close to saturation, it is increasingly challenging to cover the cost of providing the network, as revenues are not growing. This has driven mobile operators, thus far mostly involved in facility-based competition, to turn their attention to network sharing. There exist various types of mobile network sharing (MNS), from passive to active sharing. In this paper, we propose a model, based on the supply-demand model, for evaluating the economic effects of using six types of MNS. Our study measures the economic effects of employing these six types of MNS, using actual WiBro-related data. Considering lower service price and expenditure reduction, the total economic effect from a year's worth of MNS use is estimated to be between 513 million and 689 million USD, which is equal to three to four percent of the annual revenue of Korean mobile operators. The results of this study will be used to support the establishment of a MNS policy in Korea. In addition, the results can be used as a basic model for developing various network sharing models. © 2012 ETRI.

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