• Journal of Platform Technology
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• v.8 no.4
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• pp.38-46
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• 2020

This study describes how to build a security control system using an open source big data solution so that private companies can build an overall security control infrastructure. In particular, the infrastructure was built using the Elastic Stack, one of the free open source big data analysis solutions, as a way to shorten the cost and development time when building a security control system. A comparative experiment was conducted. In addition, as a result of comparing and analyzing the functions, convenience, service and technical support of the two solution, it was found that the Elastic Stack has advantages in the security control of Big Data in terms of community and open solution. Using the Elastic Stack, security logs were collected, analyzed, and visualized step by step to create a dashboard, input large logs, and measure the search speed. Through this, we discovered the possibility of the Elastic Stack as a big data analysis solution that could replace Splunk.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.271-272
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• 2014

As E-discovery in criminal investigation is increasing, the importance of Forensic Tools which can legally extract data with high effectiveness is getting higher. Digital products are growing fast. Therefore, Forensic Tools should be implemented readily to suit users and events well. Although forensic industry and governments use expensive forensic tools, some have suggested limitations to its use, such as memory limitations and the limits of post-audit. We need to develop open source forensic tools that can implement a variety of forensic tool fast. This research studies digital forensics technical skills which are commercialized currently and suggests applicable strategies of the open digital forensics to help overcome these limitations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.409-412
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• 2019

국내의 미세먼지 문제가 심각해짐에 따라 대기 오염에 관한 분야의 관심이 높아지고 있다. 현재 정부는 최근 IT 융합 기술의 발전에 따라 빅데이터, 클라우드, 등 사물인터넷 기반 장치의 확산 및 고도화를 위한 기술 접목에 많은 지원과 관심을 보이며 기상청을 통해서는 국내 대기 오염으로 인한 사회적 비용을 낮추기 위해 공공 데이터(Application Program Interface, API)를 활용 다양한 정보 서비스를 지원하고 있다. 하지만 기상청에서 제공하는 정보 서비스에는 한계가 있다. 특히 기상청에서 운영되고 있는 장비들은 고가의 장비로써 비용 및 공간적 설치 제약이 따르며, 약 15km 범위를 한 개소로 담당하여 기상 데이터에 대한 신뢰도에 문제가 발생하고 있다. 본 논문에서는 오픈 하드웨어 기반 소형 기상관측 장비를 활용한 기상지수 및 미세먼지 측정 데이터 제공 시스템을 제안한다. 본 논문에서 제안한 시스템은 기상 계측이 필요한 지역의 작은 공간을 활용, 기상관측 장비를 통해 관측된 데이터와 기상청에서 제공하는 생활 기상지수 알고리즘을 토대로 해당 지역에 맞는 맞춤형 정보를 제공하여 사회적 비용을 낮출 수 있을 것으로 기대한다.

• Journal of Advanced Navigation Technology
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• v.25 no.5
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• pp.415-425
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• 2021

In line with the trend of the digital transformation, the financial sector is providing financial services with new technologies. Among them, the open banking, which is drawing attention from global financial industry, is a service environment that maximizes customers' convenience and data utilization. In addition, the shift in the digital paradigm has also increased anxiety that security problems such as hacking and information leakage caused by data sharing are also concerned. A failure to overcome the negative view will hinder the development of financial services. This study presents a security governance system that can safely and comprehensively manage data in a digital financial ecosystem. This prepares a technical application plan by presenting a digital financial security architecture to field workers, focusing on the open banking service environment. It can be seen that this study is worthwhile by presenting a comprehensive information protection system that allows financial IT to introduce and utilize open banking services in a changing environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.333-335
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• 2013

웹 사용에 있어서 사용자는 응답데이터에 불필요한 데이터를 받게 된다. 불필요한 데이터는 HTML, CSS, 자바스크립트에 포함되는 것 중 띄어쓰기, 주석, 줄 바꿈 등에서 발생된다. 불필요한 데이터를 제거하는 최적화 과정 기능이 추가된 오픈소스로 Ziproxy가 있다. Ziproxy 의 최적화 기능 중 자바스크립트 최적화 과정에서 문제가 발생되었다. 문제점을 분석 해본 결과 세가지 문제점이 발견되었다. 본 논문에서 세가지 문제점에 대해서 살펴보고 해당 문제점에 대한 해결방안을 제시하겠다.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.8
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• pp.319-330
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• 2021

Recently, in the field of open domain natural language question answering, multi-task, multi-hop question answering has been studied extensively. In this paper, we propose a novel deep neural network model using hierarchical graphs to answer effectively such multi-task, multi-hop questions. The proposed model extracts different levels of contextual information from multiple paragraphs using hierarchical graphs and graph neural networks, and then utilize them to predict answer type, supporting sentences and answer spans simultaneously. Conducting experiments with the HotpotQA benchmark dataset, we show high performance and positive effects of the proposed model.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.12
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• pp.461-468
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• 2022

Development of the big data industry, the cases of providing data utilization services on digital platforms are increasing. In this regard, research in data-related fields is being conducted to apply the FAIR principle that can be applied to the assessment of (meta)data quality, service, and function to data quality evaluation. Especially, the European Open Data Portal applies an assessment model based on FAIR principles. Based on this, a data maturity assessment is conducted and the results are disclosed in reports every year. However, public data portals do not conduct data maturity evaluations based on metadata. In this paper, we propose and evaluate a new model for data maturity evaluation on a big data platform built for multiple domestic public data portals and data transactions, FAIR principles used for data maturity evaluation in Europe's open data portals. The proposed maturity evaluation model is a model that evaluates the quality of public data portal datasets.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.211-224
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• 2016

Based on the 'Government 3.0', the government opens the public data and encourages the active use in the private sector. Recently, the spatial and statistical information that is one of the public data is being widely used in the various web business as a high value-added information. In this study, we propose an architecture of high-availability, high-reliability and high-performance open platform which can provide a variety of services such as searching, analysis, data mining, and thematic mapping. In particular, we present two different system architectures for the government and the public services, by reflecting the importance of the information security and the respective utilization in the private and public sectors. We also compared a variety of server architecture configurations such as a clustered server configuration, a cloud-based virtual server configuration, and a CDN server configuration, in order to design a cost- and performance-effective spatial-statistical information open platform.

• Journal of Korean Library and Information Science Society
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• v.51 no.3
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• pp.27-51
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• 2020

This study aims to propose an extended OAK metadata for research data that would be described in OAK, an open access repository of the National Library of Korea. As a research method, literature review, case studies, and interviews with related parties were conducted. The method of extending the existing OAK metadata for research data was derived as follows. First, in modeling for research data, the structure of the collection> item> file is maintained, the collection is placed as a higher group to which the research data can be grouped, and item was combined metadata and files or digital objects of various formats together. Second, by mapping the metadata standard and case organizations with the existing OAK metadata, elements judged to need to be extended to OAK for research data were selected and reflected in the existing OAK. Third, the controlled vocabulary and syntax are also proposed so that it can be used for search or later statistics through structured data. By expanding the OAK metadata to describe research data, research data produced in Korea can be officially stored and used, which is the basis for preventing duplication of research and sharing and recycling research results nationally.

• Journal of Service Research and Studies
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• v.10 no.1
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• pp.17-31
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• 2020

Open banking, the global trend of the financial industry, is the driving force behind various innovations in the financial market in the future. The right policy direction and detailed tasks are important for triggering the differentiation and reunion of the financial industry. The purpose of this study is to investigate and analyze the background of open banking, domestic and international trends, and Korea's open banking policy. The policy directions and tasks for successful settlement and activation of open banking system are carefully suggested. Open banking is a policy to allow third party provider(TPP) access to bank accounts and open payment functions under the explicit consent of the customer. The opening of the open banking era is expected to begin competition and cooperation between banks and fintech companies in earnest, thus enhancing the competitiveness of the financial industry and contributing to the utility of financial consumers. To this end, policymakers should make every effort to advance open-ended financial settlement infrastructure, open banking legal grounds, and minimize side effects such as customer data leakage and poor financial system stability. Banks and fintech companies will need to focus on scattered customer financial information on a single platform and develop it into a convergence and discrimination of true financial services.