• Journal of KIBIM
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• v.5 no.1
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• pp.54-62
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• 2015

The Cities that recently developed have been applied to private network for establishing information communication network system. The local governments planning or pursuing U-City construction should also choose the private network in consideration of operation and maintenance. In viewpoint of agency operating u-City, it is necessary to integrate traditional and new network. However, there has been lack of guides to choose U-City network considering the economic analysis between private and leased network. This study analyzed the characteristics of private and leased network, and the cost-benefit by estimating the network cost and communication demand focused on U-services that are recently applied. This study purpose a guide for efficient U-City information network selected by estimating ROI(Return On Investment) and BEP(Break Even Point) for establishing private and leased network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.05a
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• pp.263-267
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• 2000

Traffic analysis during past years used the Poisson distribution or Markov model, assuming an exponential distribution of packet queue arrival. Recent studies, however, have shown aperiodic and burst characteristics of network traffics Such characteristics of data traffic enable the scalability of network, QoS, optimized design, when we analyze new traffic model having a self-similar characteristic. This paper analyzes the self-similar characteristics of a small-scale mixed traffic in a network simulation, the real WAN delay time, TCP packet size, and the total network usage.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.392-394
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• 2014

요즘 인터넷을 통하여 많은 사이버 공격이 일어나고 있다. 이에 대응하기 위하여 우리는 네트워크 패킷을 저장할 수 있는 사이버 블랙박스 시스템을 개발하고 사이버 블랙박스 시스템에서 수집한 많은 네트워크 패킷을 분석할 수 있는 효율적인 공격 원인 분석 알고리즘을 제안한다. 공격원인 분석 알고리즘을 통하여 우리는 사이버 공격에 발생했을 때 공격의 유입점이 어디이고 어떤 경로를 통해서 공격이 이루어졌는지 알 수 있다. 그 뿐만 아니라 숨겨진 피해자 발견 알고리즘을 통하여 알려진 피해자뿐만 아니라 알려지지 않은 다른 피해자를 찾을 수 있다.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.181-188
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• 2010

In this study, we suggest the system to analyze network users' action patterns by using Data-Mining Technique. We installed Network Tap to implement the analysis system of network action and copied the network packet. The copied packet is stored at the database through MainMemoryDB(MMDB) of the high-speed. The stored data analyze the users' action patterns by using Data-Mining Technique and then report the results to the network manager on real-time. Also, we applied the standard XML document exchange method to share the data between different systems. We propose this action pattern analysis system operated embedded type of SetToBox to install easily and support low price.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.241-264
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• 2013

This study compared and analyzed weighted network centrality measures supported by Opsahl's tnet and Lee's WNET, which are free softwares for weighted network analysis. Three node centrality measures including weighted degree, weighted closeness, and weighted betweenness are supported by tnet, and four node centrality measures including nearest neighbor centrality, mean association, mean profile association, triangle betweenness centrality are supported by WNET. An experimental analysis carried out on artificial network data showed tnet's high sensitiveness on linear transformations of link weights, however, WNET's centrality measures were insensitive to linear transformations. Seven centrality measures from both tools, tnet and WNET, were calculated on six real network datasets. The results showed the characteristics of weighted network centrality measures of tnet and WNET, and the relationships between them were also discussed.

• Convergence Security Journal
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• v.5 no.2
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• pp.1-8
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• 2005

Network event analysis gives useful information on the network status that helps protect attacks. It involves finding sets of frequently used packet information such as IP addresses and requires real-time processing by its nature. Apriori algorithm used for data mining can be applied to find frequent item sets, but is not suitable for analyzing network events on real-time due to the high usage of CPU and memory and thus low processing speed. This paper develops a network event audit module by applying association rules to network events using a new algorithm instead of Apriori algorithm. Test results show that the application of the new algorithm gives drastically low usage of both CPU and memory for network event analysis compared with existing Apriori algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.848-851
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• 2005

The BcN is applying from public networks to local networks and each terminal step by step until 2007. By IPv6 network introduction, IP address lack problem can be solved. However, the threats that network attacks of another method can be caused with new problem of network security in IPv6 networks. In this paper, we suggest the traffic analysis tool which analyze IPv6 traffic efficiently to detect/response network attack in IPv6 environment. The implemented IPv6 traffic analysis tool uses IPv6 header to analyze traffic and detect network attacks. Also, we also propose detection algorithm to detect network attacks in IPv6 networks.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.6
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• pp.1137-1147
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• 1997

I propose a RZETA network consisted of switching elements(SEs) that have regular links and alternate links. A modified Zeta nework used for the RZETA network's regular links and a MIN used for its alternate links are generated using the graph theory. The RZETA network is driven from merging the formaer and latter MINs. A necessary and sufficient condition for modified Zeta network to be a nonblocking network is also presented. This condition is a ufficient condition for RZETA network with a faulty link or a faulty SE to be nonblocked. Performance of the RZETA network is analyzed by modification of the model of 2-dilated Banyan network and its performance is compared with existing redundant path networks, when packet arrival rate of each source is 1.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.777-780
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• 2014

The sensor network technology for core technology of ubiquitous computing is in the spotlight recently, the research on sensor network is proceeding actively which is composed many different sensor node. The major traffic patterns of plenty of sensor networks are composed of collecting types of single directional data, which is transmitting packets from several sensor nodes to sink node. One of the important condition for design of sensor node is to extend for network life which is to minimize power-consumption under the limited resources of sensor network. In this work, we analysis adapted routing protocols using the network simulation that was used exiting network and network provider needs will be able to solve the problem.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.689-691
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• 2018

의존 구문 분석은 자연어 이해 영역의 대표적인 과제 중 하나이다. 본 논문에서는 한국어 의존 구분 분석의 성능 향상을 위해 Deep Bi-affine Network 와 스택 포인터 네트워크의 앙상블 모델을 제안한다. Bi-affine 모델은 그래프 기반 방식, 스택 포인터 네트워크의 경우 그래프 기반과 전이 기반의 장점을 모두 사용하는 모델로 서로 다른 모델의 앙상블을 통해 성능 향상을 기대할 수 있다. 두 모델 모두 한국어 어절의 특성을 고려한 자질을 사용하였으며 세종 의존 구문 분석 데이터에 대해 UAS 90.60 / LAS 88.26(Deep Bi-affine Network), UAS 92.17 / LAS 90.08(스택 포인터 네트워크) 성능을 얻었다. 두 모델에 대한 앙상블 기법 적용시 추가적인 성능 향상을 얻을 수 있었다.