• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1217-1220
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• 2004

현재까지 IDS는 관리자의 개입 없이는 효과적인 운용이 불가능하고, IDS를 사용하더라도 여전히 침입 발생 가능성이 있고, 다양한 우회 가능성이 존재한다. 본 논문에서는 기존에 제안된 침입탐지 시스템을 분석하고, C-Box에 규정된 정책을 이용한 데이타소스 기반의 침입탐지 시스템을 설계하여 이를 실험하였다. 본 연구는 데이터 소스 기반에서 침입 탐지 방법 기준의 비정상적인 형태에 의한 탐지와 오류에 의한 탐지기법을 적용하였으며, IDS에 침입 탐지 정책을 설계하였고, 규정에 의한 정책중심의 침입탐지 기법을 정상적인 동작과 비정상적인 동작을 구분하는 경계를 정의한다. 또한, 침입탐지 정책을 이용한 호스트기반 IDS를 설계하고 구현함으로서 정보시스템의 취약성을 보완할 수 있었다. 침입탐지 실험을 위한 시스템 호출 기술은 커널에 프로세스들의 특성을 자세하게 정의하고, 이를 실행할 수 있도록 기반을 구축함으로서 가능하게 하였다.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.95-106
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• 2016

The major thrust of this research focuses on the development of phased big data distribution model based on the big data ecosystem. This model consists of 3 phases. In phase 1, data intermediaries are participated in this model and transaction functions are provided. This system consists of general control systems, registrations, and transaction management systems. In phase 2, trading support systems with data storage, analysis, supply, and customer relation management functions are designed. In phase 3, transaction support systems and linked big data distribution portal systems are developed. Recently, emerging new data distribution models and systems are evolving and substituting for past data management system using new technology and the processes in data science. The proposed model may be referred as criteria for industrial standard establishment for big data distribution and transaction models in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.111-122
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• 2021

With the spread of technology in the 4th Industrial Revolution, the defense industry in South Korea is getting developed into an industrial structure in which high-tech technologies are concentrated. As the importance of defense technology has gradually increased, the government has enacted the Defense Technology Security Act and required to build a protection system for institutions that possess or manage defense technology. In order for the target institution to introduce a protection system, it is necessary to identify the defense technologies that are protected and to ensure systematic data management. In order to cope with this, we derived master data items for data management and analyzed the implementation types of defense technology master data system suitable for the defense industry environments. The derived method identified the defense technology master data, such as primary and secondary master data, and through AHP analysis, Co-existence type was suitable as the target model for the master data management system. We expect that stronger defense technology security policy will be implemented through the defense technology MDM system.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.57-64
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• 2008

The data grid computing provides geographically distributed storage resources to solve computational problems with large-scale data. Unlike cache replacement policies in virtual memory or web-caching replacement, an optimal file replacement policy for data grids is the one of the important problems by the fact that file size is very large. The traditional file replacement policies such as LRU(Least Recently Used), LCB-K(Least Cost Beneficial based on K), EBR(Economic-based cache replacement), LVCT(Least Value-based on Caching Time) have the problem that they have to predict requests or need additional resources to file replacement. To solve theses problems, this paper propose SBR-k(Sized-based replacement-k) that replaces files based on file size. The proposed policy considers file size to reduce the number of files corresponding to a requested file rather than forecasting the uncertain future for replacement. The results of the simulation show that hit ratio was similar when the cache size was small, but the proposed policy was superior to traditional policies when the cache size was large.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.561-573
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• 2004

본 시스템은 대학에 맞는 전공과목 연계 및 검색 시스템을 설계하고 구현하는데 목적을 두었다. 우선 웹 상에서 전공과목 검색이 가능하도록 구현하여 사용자 (user)가 전공선택의 편의를 도모하고, 관리자가 유지보수가 용이하도록 하여 대학교육환경 변화에 즉시 대응할 수 있도록 하기 위해 최대한 동적인 문서가 되도록 하였다. 또한 본 시스템은 각 대학의 운영방침에 맞는 시스템을 개발하고 관리자가 향후에 갱신이 용이하도록 하였다. 본 시스템은 ASP를 이용한 전공과목 연계 및 검색 시스템을 기능면에 중점을 두고 설계하였다. 시스템에 메인화면을 두어 사용자 및 관리자 화면을 두어 구성하였다. 사용자는 검색을 통해 관련과목에 대한 정보와 인접과목에 대한 정보를 동적으로 정확하게 받을 수 있게 하였고, 관리자는 로그인 화면을 통해 인증을 받도록 하여 데이터베이스에 대한 관리기능을 가질 수 있게 하였다.

• Journal of Korea Spatial Information System Society
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• v.8 no.1 s.16
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• pp.1-16
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• 2006

Recently, human based computing environment for supporting users to concentrate only user task without sensing other changes from users is being progressively researched and developed. But middleware deletes steream data processed for reducing process load of massive information from RFID sensor in this computing. So, this kind of middleware have problems when user demands probability or statistics needed for data warehousing or data mining and when user demands very important stream data repeatedly but already discarded in the middleware every former time. In this paper, we designs Sensor Middleware Architecture on Multi Level Spatial DBMS with Snapshot and manage repeatedly required stream datas to solve reusing problems of historical stream data in current middleware. This system uses disk databse that manages historical stream datas filtered in middleware for requiring services using historical stream information as data mining or data warehousing from user, and uses memory database that mamages highly reuseable data as a snapshot when stream data storaged in disk database has high reuse frequency from user. For the more, this system processes memory database management policy in a cycle to maintain high reusement and rapid service for users. Our paper system solves problems of repeated requirement of stream datas, or a policy decision service using historical stream data of current middleware. Also offers variant and rapid data services maintaining high data reusement of main memory snapshot datas.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.3
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• pp.129-150
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• 2015

As the digital technologies and internet have advanced, data have centered in the process of meaningful scientific ramifications and policy making in a wide variety of fields. Data curator in charge of managing data plays a significant role in terms of improving the effectiveness and efficiency of data management and re-uses. The purpose of this study is to identify the core competencies for data curator. For achieving the purpose of this study, two sets of data were collected. First, a total of 255 job descriptions were collected from the web sites including ARL, Digital Curation Exchange, Code4lib, ASIS&T JobLine for the period of 2011-2014. Second, in-depth interviews with five data curators from four diverse organizations were collected. The two sets of data were analyzed into seven categories identified from the related studies. Findings of this study showed that core competencies for data curator were identified into four categories, communication skills, data management techniques, knowledge and strategies for data management, and instructions and service provisions for users. The implications of this study can be considered as integrated and professional curriculum developments for data curator with core competencies.

• The Korean Journal of Archival Studies
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• no.71
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• pp.237-272
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• 2022

In 2019, the pilot project to establish a record management system for administrative information datasets started in earnest under the leadership of the National Archives. Based on the results of the three-year project by 2021, the improved administrative information dataset management plan will be reflected in public records-related laws and guidelines. Through this, the administrative information dataset becomes the target of full-scale public record management. Although public records have been converted to electronic documents and even the datasets of administrative information systems have been included in full-scale public records management, research on the quality requirements of data itself as raw data constituting records is still lacking. If data quality is not guaranteed, all four properties of records will be threatened in the dataset, which is a structure of data and an aggregate of records. Moreover, if the reliability of the quality of the data of the administrative information system built by reflecting the various needs of the working departments of the institution without considering the standards of the standard records management system is insufficient, the reliability of the public records itself can not be secured. This study is based on the administrative information dataset management plan presented in the "Administrative Information Dataset Recorded Information Service and Utilization Model Study" conducted by the National Archives of Korea in 2021. A study was conducted. By referring to various data, especially public data-related policies and guides, which are being promoted across the government, we would like to derive quality evaluation requirements in terms of records management and present specific indicators. Through this, it is expected that it will be helpful for record management of administrative information dataset which will be in full swing in the future.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.93-116
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• 2014

This study analyzed the digital curation process targeting the foreign 10 university libraries for the efficient utilization of the research data. The analysis was conducted by dividing into 4 parts such as the selection and ingest of data, preservation, access and use, responsibilities and management. The results indicated that research data for selection and ingest include data produced by the faculty members or can be accessible in the university or research institution. The findings also showed that the institutions use Dublin Core, MODS, and PREMIS as a metadata for preservation. In the aspect of approach and use, regulation are decided based on the law and agreement. And in the aspect of responsibility and management, most elements are divided into the management, financial, technical, physical, and personal parts and each audit or sustainability is reviewed.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.392-392
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• 2023

통합수자원관리 IWRM(Integrated Water Resources Management)를 위한 다각도의 연구가 진행되고 있다. 구축된 정보의 활용 증진, 정책적 측면 등이 어우러져 고려되어야 비로소 통합으로서의 가치가 확보될 것이다. 본 고에서는 그중 데이터 측면을 살펴본다. 데이터 관점에서도 정보의 수집, 유통, 품질 등 여러 관점의 주제가 존재한다. 예를 들어 유통을 위한 메타데이터는 ISO 19139의 채택에서 추가 보완할 부분이 무엇인지, 유통을 위한 포맷과 인터페이스는 XML과 OGC WFS를 채택시 충분한 호환성이 확보되는지 등 이 주요한 검토요소가 될 것이다. 본 고에서는 이러한 고민에 앞서, 초기 절차인 시스템 적재 과정의 ETL(Extract, Transform and Load)과 ELT(Extract, Load and Transform) 방법을 비교하고자 한다. 수자원 분야 데이터를 사용한 예시 사례를 통하여, 최근 데이터 산업 분야에서 ETL과 ELT 차이가 이슈화되고 있는 이유를 살펴보고, 온프레미스와 클라우드 상황에 대하여 두 가지 방법의 장단점을 비교함으로서 다양한 데이터를 직면하게 되는 IWRM에서의 데이터 적응에 대한 힌트를 얻고자 한다. 기본적으로는 ETL보다 ELT의 효율성이 높을 것으로 전망된다. 그러나 해당 변환 과정이 일회성인지 반복적인지 고려해야 한다. 또한 변환에 있어 지배적인 요소가 변환 프로세스의 복잡도인지, 레코드 건수인지도 유불리에 영향을 준다. 비용측면에서는 ETL보다 ELT의 저장 비용이 증가할 수 있고, 이는 온프레미스 DBMS에서 PaaS 유형의 DBMS로 전환되어감에 따라 더 큰 부담이 될 수 있다. 무엇보다 ETL, ELT에서는 요구되는 변환 기술의 종류가 다르다. 예를 들어 Desktop GIS 도구와 ANSI 표준 SQL 기술로 대표될 수 있으며 각 수행조직에서는 보유 인적자원의 기술 현황과 학습곡선 등을 고려해야 한다. 결론적으로 ETL, ELT의 비교에 있어서는 처리시간과 동시에, 비용과 인적 자원 그리고 전략적 측면도 함께 검토되어야 한다.