• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.537-544
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• 2020

Advances in detection techniques, such as mutation and obfuscation, are being advanced with the development of malware technology. In the malware detection technology, unknown malware detection technology is important, and a method for Malware Authorship Attribution that detects an unknown malicious code by identifying the author through distributed malware is being studied. In this paper, we try to extract the compiler information affecting the binary-based author identification method and to investigate the sensitivity of feature selection, probability and non-probability models, and optimization to classification efficiency between studies. In the experiment, the feature selection method through information gain and the support vector machine, which is a non-probability model, showed high efficiency. Among the optimization studies, high classification accuracy was obtained through feature selection and model optimization through the proposed framework, and resulted in 48% feature reduction and 53 faster execution speed. Through this study, we can confirm the sensitivity of feature selection, model, and optimization methods to classification efficiency.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.555-563
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• 2016

Science and technology contents (research papers, patents, reports) are the most common reference material for researchers involved in research and development in the fields of science and technology. Based on various search elements (title, abstract, keyword, year of publication, name of journal, name of author, publisher, etc.), many services are available for users to search science and technology contents and bibliographic information owned by libraries. Authority data on organization name can be useful as an element for author identification and as an element to search for results produced by specific organizations. However, organization name is not taken into account by current search services for domestic academic information and bibliographic records. This study analyzes organization name data contained in the metadata of science and technology contents, which are the basis of the establishment of authority data, and proposes a method and system based on string containment and exact string matching.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1191-1199
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• 2016

To ensure the fairness, journal reviewers use blind-review system which hides the author information of the journal. Even though the author information is blinded, we could identify the author by looking at the field of the journal or containing words and phrases in the text. In this paper, we collected 315 journals of 20 authors and extracted text data. Bag-of-words were generated after preprocessing and used as an input of artificial neural network. The experiment shows the possibility of circumventing the blind review through identifying the author of the journal. By the experiment, we demonstrate the limitation of the current blind-review system and emphasize the necessity of robust blind-review system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.139-155
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• 2018

This study proposed an integrated management system model of researcher identifiers using the ISNI(International Standard Name Identifier) that can prevent duplicate issuance of identifiers and can be used to reorganize the authors' information. We looked at the metadata structure and management system of the ISNI that can be applied in various fields among identifiers. And we have designed the integrated ID system and system model that can manage the identifiers issued by each institute based on the ISNI. This model consists of data structure layer, platform layer, application layer, management and security layer (4 layers) and we have presented some of the key features and issues to consider when managing the integrations.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.165-188
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• 2009

The major purposes of the research are to see the underlying disciplines of technology innovation management which contribute to Korean research. To do that, we employed author cocitation analysis which has been proved to be robust. We compiled all the citations of two major Korean journals between 1993 and 2006. We also included up to 3rd author, which makes a cocitation analysis more comprehensive, compared with the previous analysis for the first author only. We identified 239 authors who have more than 10 citations. From the cocitation combinations based on the 239 authors, we selected and analyzed 100 most cocited authors. Out of 100 authors a group of 23 authors who command both higher citations and cocitations were chosen for detailed analysis. The results show that the average number of publications is 22.2, the average number of citations to them is 58.5, and the average number of citations to a publication is 2.6. Also, the average number of cocitations is around 10 times that of citations. The results indicate that there are six major disciplines: Technology/Innovation, Management of Technology, Economics of Technology, Development, Valuation of Technology, and Growth. Noteworthy points are the following. 1) Most of the members of the technology management group are management scholars, and the groups of economics of technology and growth are economists, while the groups of technology innovation and development group are not represented by specific disciplines. 2) Considering the groups overall from the traditional academic disciplines, the main branches are management and economics. 3) The valuation of technology group consists mostly of Korean researchers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.135-139
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• 2012

The wide diffusion of internet and the overall increased reliance on technology for information communication, dissemination and gathering have created an unparalleled mass of data. Sifting through this data is defining and will define in the foreseeable future a big part of contemporary computer science. Within this data, a growing proportion is given by personal information, which represents a unique opportunity to study human activities extensively and live. One important recurring challenge in many disciplines is the problem of people re-identification. In its broadest definition, re-identification is the problem of newly recognizing previously identified people, such as following an unknown person while he walks through many different surveillance cameras in different locations. Our goals is to review how several diverse disciplines define and meet this challenge, from person re-identification in video-surveillance to authorship attribution in text samples to distinguishing users based on their preferences of pictures. We further envision a situation where multidisciplinary solutions might be beneficial.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.262-269
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• 2019

References at the end of an academic paper are information that helps authors keep their research ethics, readers refer to related prior studies. Also references are useful information for linking citations and citations between articles. As bibliography metrics develops, bibliographic data is used as an important data for assessing the academic influence of countries, institutions and individual researchers. However, it is not easy to identify and link the reference data due to the diversity of the bibliographic citation formats, the loss of information due to the abbreviation of journal names and author names, and typos by authors. This study investigated the method of improving the bibliographic data mapping rate by analyzing the unmapped cases. As a result, it was found that the main cause of the article-reference mapping failure was the similarity of abbreviated journal names. Research team suggested that continuous management of journal title authority data and improving the DOI registration rate as ways to improve the identification and mapping rate. This study is differentiated from other studies in used database. Bibliography mapping was attempted for domestic and foreign integrated journal database that is mainly subscribed, used, published and cited in Korea. Through reference construction volume and mapping rate improvement, it can be used as citation analysis and service database reflecting domestic situation that is different from overseas citation index database.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.197-223
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• 2020

The purpose of this study is to analyze the issues resulted from the process of grouping KORMARC records using FRBR WORK concept and to suggest a new method. The previous studies did not sufficiently address the criteria or processes for identifying representative authors of records and their derivatives. Therefore, our study focused on devising a method of identifying the representative author when there are multiple contributors in a work. The study developed a method of identifying representative authors using an author role dictionary constructed by extracting role-terms from the statement of responsibility field (245). We also designed another way to group records as a work by calculating similarity measures of authors and titles. The accuracy rate of WORK grouping was the highest when blank spaces, parentheses, and controling processes were removed from titles and the measured similarity rates of authors and titles were higher than 80 percent. This was an experiment study where we developed an author-role dictionary that can be utilized in selecting a representative author and measured the similarity rate of authors and titles in order to achieve effective WORK grouping of KORMARC records. The future study will attempt to devise a way to improve the similarity measure of titles, incorporate FRBR Group 1 entities such as expression, manifestation and item data into the algorithm, and a method of improving the algorithm by utilizing other forms of MARC data that are widely used in Korea.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.7-21
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• 2017

This study analyzed the methods for representing and linking personal information in the linked data of National Library of Korea and provided suggestions for expanding the scope of identifying and linking of the personal information. As a result, the personal information as a subject has been dealt with a concept, where the personal information as a contributor has been linked with a vocabulary of personal name. In addition, there have not been assured of including additional information except existing authority data in the process of building the linked data. Therefore, this study suggested that linking personal information as a subject and personal information as a contributor was essential for the quality of linked data. In addition, we proposed to provide additional information related to the person in linked data for expanding the scope of access points in information discovery.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.202-205
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• 2016

취약점 스캐너(Vulnerability Scanner)는 이름 그대로 기업의 네트워크나 시스템(컴퓨터, 서버, 라우터 등)을 스캔하고 오픈 포트, 활성화된 IP주소와 로그온, 운영체제, 설치되어 실행되는 소프트웨어와 서비스 등을 식별하고 보고하는 도구이다. 가용성과 데이터의 신뢰성이 우선적으로 중요시되고 있는 제어시스템 환경에서는 이러한 취약점 스캐너 도구의 사용은 운영에 영향을 미칠 수 있다. 본 저자는 기존에 상용화된 스캐너 제품의 취약점 식별 방법을 분석하고 현재까지 발표된 제어시스템 풀랫폼의 공개 취약점 정보를 이용하여 폐쇄적인 제어시스템 운영환경에 적합한 새로운 제어시스템 플랫폼 취약점 스캐너를 제안한다.