• KIPS Transactions on Software and Data Engineering
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• v.5 no.1
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• pp.1-6
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• 2016

Domain analysis is an important component for reliability of development project. Domain analysis error have an effect in the whole system. As a result, the system reliability will be deteriorated. Therefore, we need a methodology to analyze domain characteristic for a reliable analysis in the domain analysis phase. In this paper, we propose a methodology for domain categorization and estimation of complexity for reliability improvement of domain analysis.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.1
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• pp.7-12
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• 2016

User interface is important of programs collaboration. User interface error have a effect in the whole system. As a result, the system reliability will deteriorate. Therefore, we are need to methodology that user interface type is analyze for a reliable analysis in the domain analysis phase. In this paper, we are propose the methodology that extraction and standard of user interface for reliability improvement of domain analysis.

• Information and Communications Magazine
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• v.33 no.2
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• pp.28-38
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• 2016

기존 인터넷의 보안 모델은 모든 통신 상대와 통신 환경에 대한 의심을 기반으로 외부의 공격으로부터 자신을 보호하는 모델이다. 그러나 이 보안 모델은 공격이 지능화됨에 따라 방어도 지속적으로 강화되어야 하는 악순환의 고리에 빠지게 된다. 이런 악순환의 고리를 끊기 위하여 상호 신뢰를 바탕으로 공격자체가 원천적으로 없어지는 신뢰통신 구조를 제안한다. 신뢰통신모델은 먼저 상호신뢰 관계를 가진 제한된 참여자들로 구성된 신뢰 도메인에서 시작하여 외부와의 통신은 잘 정의된 인증 절차에 따라 허용함으로써 도메인의 신뢰 수준을 유지하면서 신뢰 영역을 확장하는 방식을 채택한다. 이 신뢰 모델을 기반으로 신뢰 네트워크 구조를 제안하고 이 구조를 기존의 IP 네트워크에 적용하는 방안을 제시한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.511-518
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• 2009

A lot of methods are proposed to provide services for object informations in distributed domain to satisfy the recent increase of user-centered services. This paper proposed a method called fuzzy drop manager for the service of reliable distribution application domain objects. The proposed system accesses the domain using replica parameter ci,j and access matrix Z, and evaluates the reference relatedness inside the domain using the relatedness, given by the mapping of intra-domain fuzzy relevance, between fuzzy sets. Objects in the domain generated an $\alpha$-level set according to the reference relatedness obtained by applying $\alpha$-level to extend queries. Simulation results showed that the proposed method has better performance than the other methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.3B
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• pp.375-390
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• 2004

Domain Name System(DNS), one of the most important Internet services, handles mapping from host names to Internet addresses and vice versa, and precedes many Internet applications such as Web, e-mail, file transfer, etc. In this paper, we propose a structural design of a generic name server system providing name services for a huge domain for the purpose of improving the performance as well as the reliability of the system. We demonstrate the validity of the design by implementing and running a testbed system. Our testbed employs a couple of master name sowers for distributing the service overhead over two, rather than one, servers and for achieving high availability of the system as a whole. We suggest the use of dynamic update to add and delete records from a zone for which the name server has authority. The slave name servers located remotely then get a new, updated copy of the zone via incremental zone transfers(IXFRs). The experiments with the implemented testbed show that the proposed structure would easily manage increasing demands on the server power, and be highly available in the face of transient faults of a module in the system.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3490-3499
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• 1999

The hyper-geometric distribution software reliability growth model (HGDM) was recently developed and successfully applied to the problem of estimating the number of initial faults residual in a software at the beginning of the test-and-debug phase. Though the HGDM is a time-domain software reliability growth model(SRGM), it is not possible to compare the HGDM with other time-domain SRGMs. Furthermore the usual software reliability can not be computed. These drawbacks are derived from fact that the HGDM is not described in terms of the execution time. Thus we develop a continuous-time HGDM with binomial sensitivity factor in order to remove these drawbacks. Statistical characteristics of the suggested model are studied and its applicability is then examined by analyzing real test data sets. It is empirically shown that the continuous-time HGDM with binomial sensitivity factor can be used as an alternative to the current HGDM.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.236-239
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• 2010

소프트웨어 신뢰성 보증을 위한 소프트웨어 신뢰성 평가 프로세스는 다양한 관점에서 대상 소프트웨어 시스템뿐만 아니라 관련된 조직 및 개발 프로세스에 대한 분석을 필요로 한다. 특히, 신뢰성 평가 프로세스 수행 단계 중 단계별 척도 식별단계는 대상 시스템의 도메인 특성을 반영해야 하는 까다로운 작업이다. 현재 신뢰성 관련 척도들이 여러 문서에 다양한 의미로 혼재해 있어 이를 조사하는데 많은 노력이 들며 대상 시스템 환경에 적합한 척도 식별을 위해 불필요하게 많은 회의와 인터뷰를 진행하고 있는 실정이다. 본 논문에서는 표준문서 및 관련문헌에 근거하여 신뢰성 척도 POOL 을 구성하고 각 척도 원시 데이터의 수집 조건에 기반한 적용조건 매트릭스를 이용하여 기존의 신뢰성 관련 척도 조사 및 수집, 척도 식별 과정에서 소요되는 자원, 시간의 낭비를 줄이고자 한다. 이 방법을 적용하였을 때 소요된 시간과 기존의 회의를 통해 소요되는 시간을 비교하여 본 논문에서 제시하는 방법의 효과를 평가한다.

• The Journal of Bigdata
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• v.3 no.2
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• pp.11-18
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• 2018

This study is a study on domain automatic classification for domain - based quality diagnosis which is a key element of big data quality diagnosis. With the increase of the value and utilization of Big Data and the rise of the Fourth Industrial Revolution, the world is making efforts to create new value by utilizing big data in various fields converged with IT such as law, medical, and finance. However, analysis based on low-reliability data results in critical problems in both the process and the result, and it is also difficult to believe that judgments based on the analysis results. Although the need of highly reliable data has also increased, research on the quality of data and its results have been insufficient. The purpose of this study is to shorten the work time to automizing the domain classification work which was performed from manually to using machine learning in the domain - based quality diagnosis, which is a key element of diagnostic evaluation for improving data quality. Extracts information about the characteristics of the data that is stored in the database and identifies the domain, and then featurize it, and automizes the domain classification using machine learning. We will use it for big data quality diagnosis and contribute to quality improvement.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.79-80
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• 2023

정부는 공공데이터의 품질 관리를 위하여 공공데이터 품질관리 수준평가를 진행하여 공공데이터 품질을 관리하고 있다. 파일 형식의 공공데이터를 진단 시 품질진단 담당자가 대량의 파일데이터를 필드명과 필드 내 데이터에 의존하여 수작업으로 도메인을 판단하여 진단한다. 때문에 품질진단의 정확성을 신뢰하기 어렵고 진단에 많은 시간이 소요된다. 본 논문은 파일형식의 공공데이터 품질진단의 정확성을 확보하고 진단 소요시간을 단축하기 위해 데이터 분포 통계를 이용한 CSV 형식의 공공데이터 도메인 판별 모델을 제안하였다. 제안된 모델을 적용하면 공공데이터 품질의 정확성을 향상하고 진단 소비 시간을 단축시킬 것으로 기대된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.4
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• pp.71-84
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• 2003

Self-certified public keys need not be accompanied with a separate certificate to be authenticated by other users because the public keys are computed by both the authority and the user. At this point, verifiable self-certified public keys are proposed that can determine which is wrong signatures or public keys if public keys are used in signature scheme and then verification of signatures does not succeed. To verify these public keys, key generation center's public key trusted by users is required. If all users trust same key generation center, public keys can be verified simply. But among users in different domains, rusty relationship between two key generation centers must be accomplished. In this paper we propose inter-domain verifiable self-certified public keys that can be verified without certificate between users under key generation centers whose trusty relationship is accomplished. Also we present the execution of signature and key distribution between users under key generation centers use different public key parameters.