• Title/Summary/Keyword: Co-Relation Rule-Set

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Study of Conversions Security Management System, Co-Relation Rule-Set scenario and architecture for incidence detection (융합보안관제환경을 위한 아키텍처 구축 및 활용 방안에 대한 연구)

  • Hwang, Donguk;Lee, Sanghun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.2
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    • pp.353-371
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    • 2014
  • We already have seen many studies and articles about the methodology responding the security risks and threats. But we still have some controversial subjects to be settled. Now, we are living in the era that we should focus on how to use the security systems instead of how to make it. In this point of view, a company need to find out the answer for these questions, which security risks have to be handled in a corporate, which system is better for responding the security threats, and how we can build necessary security architecture in case of developing systems. In this article, we'd like to study on-site scenarios threatening the corporate assets, the limit on dealing with these threats, and how to consolidate the security events and information from enormous assets. Also, we'd like to search for the direction form the actual cases which have shown the desired effect from converging the assets and network informations.

Conceptual Extraction of Compound Korean Keywords

  • Lee, Samuel Sangkon
    • Journal of Information Processing Systems
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    • v.16 no.2
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    • pp.447-459
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    • 2020
  • After reading a document, people construct a concept about the information they consumed and merge multiple words to set up keywords that represent the material. With that in mind, this study suggests a smarter and more efficient keyword extraction method wherein scholarly journals are used as the basis for the establishment of production rules based on a concept information of words appearing in a document in a way in which author-provided keywords are functional although they do not appear in the body of the document. This study presents a new way to determine the importance of each keyword, excluding non-relevant keywords. To identify the validity of extracted keywords, titles and abstracts of journals about natural language and auditory language were collected for analysis. The comparison of author-provided keywords with the keyword results of the developed system showed that the developed system was highly useful, with an accuracy rate as good as up to 96%.