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@article{ART002178366},
author={이태현 and Young-ju Youn and Hee-Woong KIM},
title={The Analysis of Information Security Awareness Using A Text Mining Approach},
journal={Informatization Policy},
issn={1598-3498},
year={2016},
volume={23},
number={4},
pages={76-94},
doi={10.22693/NIAIP.2016.23.4.076}

TY - JOUR
AU - 이태현
AU - Young-ju Youn
AU - Hee-Woong KIM
TI - The Analysis of Information Security Awareness Using A Text Mining Approach
JO - Informatization Policy
PY - 2016
VL - 23
IS - 4
PB - NIA
SP - 76
EP - 94
SN - 1598-3498
AB - Recently in Korea, the importance of information security awareness has been receiving a growing attention. Attacks such as social engineering and ransomware are hard to be prevented because it cannot be solved by information security technology. Also, the profitability of information security industry has been decreasing for years. Therefore, many companies try to find a new growth-engine and an entry to the foreign market. The main purpose of this paper is to draw out some information security issues and to analyze them. Finally, this study identifies issues and suggests how to improve the situation in Korea. For this, topic modeling analysis has been used to find information security issues of each country. Moreover, the score of sentiment analysis has been used to compare them. The study is exploring and explaining what critical issues are and how to improve the situation based on the identified issues of the Korean information security industry. Also, this study is also demonstrating how text mining can be applied to the context of information security awareness. From a pragmatic perspective, the study has the implications for information security enterprises. This study is expected to provide a new and realistic method for analyzing domestic and foreign issues using the analysis of real data of the Twitter API.
KW - information security awareness;text mining;topic modeling;sentiment analysis;social media;twitter
DO - 10.22693/NIAIP.2016.23.4.076
ER -

이태현, Young-ju Youn and Hee-Woong KIM. (2016). The Analysis of Information Security Awareness Using A Text Mining Approach. Informatization Policy, 23(4), 76-94.

이태현, Young-ju Youn and Hee-Woong KIM. 2016, "The Analysis of Information Security Awareness Using A Text Mining Approach", Informatization Policy, vol.23, no.4 pp.76-94. Available from: doi:10.22693/NIAIP.2016.23.4.076

이태현, Young-ju Youn, Hee-Woong KIM "The Analysis of Information Security Awareness Using A Text Mining Approach" Informatization Policy 23.4 pp.76-94 (2016) : 76.

이태현, Young-ju Youn, Hee-Woong KIM. The Analysis of Information Security Awareness Using A Text Mining Approach. 2016; 23(4), 76-94. Available from: doi:10.22693/NIAIP.2016.23.4.076

이태현, Young-ju Youn and Hee-Woong KIM. "The Analysis of Information Security Awareness Using A Text Mining Approach" Informatization Policy 23, no.4 (2016) : 76-94.doi: 10.22693/NIAIP.2016.23.4.076

이태현; Young-ju Youn; Hee-Woong KIM. The Analysis of Information Security Awareness Using A Text Mining Approach. Informatization Policy, 23(4), 76-94. doi: 10.22693/NIAIP.2016.23.4.076

이태현; Young-ju Youn; Hee-Woong KIM. The Analysis of Information Security Awareness Using A Text Mining Approach. Informatization Policy. 2016; 23(4) 76-94. doi: 10.22693/NIAIP.2016.23.4.076

이태현, Young-ju Youn, Hee-Woong KIM. The Analysis of Information Security Awareness Using A Text Mining Approach. 2016; 23(4), 76-94. Available from: doi:10.22693/NIAIP.2016.23.4.076

이태현, Young-ju Youn and Hee-Woong KIM. "The Analysis of Information Security Awareness Using A Text Mining Approach" Informatization Policy 23, no.4 (2016) : 76-94.doi: 10.22693/NIAIP.2016.23.4.076