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http://dx.doi.org/10.17662/ksdim.2018.14.2.019

Research Trends Analysis of Information Security using Text Mining  

Kim, Taekyung (명지전문대학 인터넷응용보안공학과)
Kim, Changsik (배화여자대학교 글로벌관광과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.14, no.2, 2018 , pp. 19-25 More about this Journal
Abstract
With the development of IT technology, various services such as artificial intelligence and autonomous vehicles are being introduced, and many changes are taking place in our lives. However, if secure security is not provided, it will cause many risks, so the information security becomes more important. In this paper, we analyzed the research trends of main themes of information security over time. In order to conduct the research, 'Information Security' was searched in the Web of Science database. Using the abstracts of theses published from 1991 to 2016, we derived main research topics through topic modeling and time series regression analysis. The topic modeling results showed that the research topics were Information technology, system access, attack, threat, risk management, network type, security management, security awareness, certification level, information protection organization, security policy, access control, personal information, security investment, computing environment, investment cost, system structure, authentication method, user behavior, encryption. The time series regression results indicated that all the topics were hot topics.
Keywords
Information Security; Text Mining; Topic Modeling; Time Series Regression Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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