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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. Source


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. Source


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. Source


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. Source


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. Source

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