텍스트마이닝을 이용한 정보보호 연구동향 분석

• Published in: (사)디지털산업정보학회 논문지, 14(2) Vol. 14; no. 2; pp. 19 - 25
• Main Authors: 김태경, 김창식, Kim, Taekyung, Kim, Changsik
• Format: Journal Article
• Language: Korean
• Published: (사)디지털산업정보학회 01.06.2018
• Subjects: 컴퓨터학; Information Security; Text Mining; Time Series Regression Analysis; Topic Modeling
• ISSN: 1738-6667; 2713-9018
• DOI: 10.17662/ksdim.2018.14.2.019

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.