• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.3
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• pp.121-129
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• 2008

This paper presents vulnerability identification method based on meaning which is making use of the concept of atomic vulnerability. Also, we are making use of decomposition and specialization processes which were used in DEVS/SES to get identifiers. This vulnerability representation method is useful for managing and removing vulnerability in organized way. It is helpful to make a relation between vulnerability assessing and intrusion detection rules in lower level. The relation enables security manager to response more quickly and conveniently. Especially, this paper shows a mapping between Nessus plugins and Snort rules using meaning based vulnerability identification method and lists usages based on three goals that security officer keeps in mind about vulnerability. The contribution of this work is in suggestion of meaning based vulnerability identification method and showing the cases of its usage for the rule integration of vulnerability assessment and intrusion detection.

• Bulletin of Korea Environmental Preservation Association
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• s.403
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• pp.19-21
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• 2013

국내 배출권거래제는 2015년 1월부터 도입된다. 정부는 그 동안 시행령을 마련하였고, 앞으로 기본계획과 할당계획을 확정할 예정이다. 기본계획과 할당계획은 구체적인 최종 세부 운영규칙과 관련된 사항이다. 각 운영요소의 대안별 선택 및 대안간 평가에 관한 실증적 검토, 운영요소 간 상호 연계 효과 등에 관한 최종적 점검이 필요하다.

• Feed Journal
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• v.2 no.4
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• pp.100-101
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• 2004

농림부는 지난달 11일 가축전염병예방법 제17조. 제25조 및 동법 시행규칙 제20조의 규정에 따라 "소독설비의 운영 및 소독요령"을 고시했다.(농림부고시 제 2004-9호). 다음은 이중 소독설비 및 소독실시 점검요령을 발췌, 정리한 것이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3636-3643
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• 2011

To prevent the electrical accidents in the laboratory, we identify problems for periodic inspections of the electric field and develop a fuzzy inference system that can be practically applied to check items. Focusing on electrical safety in the lab environment, we draw check items that can be applied in common and develop a standard checklist that is consistent with the laboratory electrical safety and the periodic inspections. Using the standard checklist we select the items that may contain a linguistic ambiguity and define the membership functions for these items. We also have a safety rating defined by the membership function. Using these fuzzy variables we form the fuzzy rules in the form of 'If-Then' and develop a fuzzy inference system through the fuzzy engine. From this, electrical accidents could be prevented in advance continuously by managing the intelligent and efficient inspection and electrical safety to prevent the electrical accidents in the laboratory.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1189-1197
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• 2013

Data mining is the process of analyzing a huge database from different perspectives and summarizing it into useful information. One of the well-studied problems in data mining is association rule generation. Association rule mining finds the relationship among several items in massive volume database using the interestingness measures such as support, confidence, lift, etc. Typical applications for this technique include retail market basket analysis, item recommendation systems, cross-selling, customer relationship management, etc. But these interestingness measures cannot be used to establish a causality relationship between antecedent and consequent item sets. This paper propose causal association thresholds to compensate for this problem, and then check the three conditions of interestingness measures. The comparative studies with basic and causal association thresholds are shown by numerical example. The results show that causal association thresholds are better than basic association thresholds.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.244-246
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• 2005

전기사업법 제 66조 및 동법 시행규칙 제 35조에 따라 실시하고 있는 일반용 전기설비의 정기점검은 점검의 효율성을 향상시키기 위해 무정전으로 누설전류 및 절연저항 등을 측정할 필요가 있다. 본 논문에서는 누설전류, 절연저항 및 접지저항 측정기능을 갖고 휴대가 편리하며 PDA와 통신이 가능한 다기능 전기안전측정장치를 개발하였다. 개발된 시스템은 가정집, 사무실, 상가 둥에서 기존의 계측기와 비교시험을 통해 오차율이 ${\pm}5%$ 이하가 되도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.636-638
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• 2014

본 논문은 개발 무기체계의 통합점검 단계에서 각 장비의 교환 데이터 분석을 용이하게 할 수 있는 연동통제문서 기반의 분석 소프트웨어 설계 구조를 기술한다. 특히, XML 형식의 객체 모델을 정의하여 수집된 패킷을 연동 메시지로 객체화하는 방법을 제안한다. 이러한 객체 모델은 메시지 교환 방법에 따라 Object와 Interaction 모델로 구분되며, 연동통제문서의 메시지에 대한 작성 규칙과 표현 형식을 정의하고 있다. 분석 소프트웨어는 객체 모델로 기술된 연동통제문서를 처리하여 실시간으로 연동 데이터를 전시하고, 체계통합점검의 결과 분석에 필요한 정보를 사용자에게 제공한다.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.611-618
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• 2015

By Wikipedia, big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Data mining is the computational process of discovering patterns in huge data sets involving methods at the intersection of association rule, decision tree, clustering, artificial intelligence, machine learning. Association rule is a well researched method for discovering interesting relationships between itemsets in huge databases and has been applied in various fields. There are positive, negative, and inverse association rules according to the direction of association. If you want to set the evaluation criteria of association rule, it may be desirable to consider three types of association rules at the same time. To this end, we proposed a balanced comparative confidence considering sensitivity, specificity, false positive, and false negative, checked the conditions for association threshold by Piatetsky-Shapiro, and compared it with comparative confidence and inversely comparative confidence through a few experiments.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.891-899
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• 2010

Association rule is the technique to represent the relationship between two or more items by numerical representing for the relevance of each item in vast amounts of databases, and is most being used in data mining. The basic thresholds for association rule are support, confidence, and lift. these are used to generate the association rules. We need standardization of lift because the range of lift value is different from that of support and confidence. And also we need standardization of support and confidence to compare objectively association level of antecedent variables for one descendant variable. In this paper we propose a method for standardization of association thresholds considering marginal probability for each item to grasp objectively and exactly association level, check the conditions for association criteria and then compare association thresholds with standardized association thresholds using some concrete examples.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.849-852
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• 2002

전통적으로 소프트웨어 공학분야에서는 소프트웨어 설계 및 개발을 위한 자동화도구와 정형화기법이 적용되었으며, 안전한 보안시스템의 개발을 위해서도 수학적인 명세와 검증도구를 사용하는 경우, 보다 안전하고 완전한 보안시스템을 구축할 수 있다. 본 연구는 정형화 명세언어인 Z를 이용하여 보안시스템을 기술하고, 기술된 명세를 소프트웨어 검증도구를 이용하여 보안시스템이 제공하는 보안특성 만족 여부 점검을 목적으로 한다. 이를 위해 본 논문에서는 수학적으로 기술된 시스템에 대한 명세를 Z스키마로 변환하는 변환규칙을 기술하고, 이와 함께 Z언어 검증도구인 Z/EVES를 이용한 검증결과를 제시한다.