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빅데이터 기반 침해사고 및 정보보호 정책 정량 분석 방법론The big data analysis framework of information security policy based on security incidents
- Other Titles
- The big data analysis framework of information security policy based on security incidents
- Issue Date
- 2017
- Publisher
- 한국컴퓨터정보학회
- Keywords
- big data; information security policy; information security incident; text analysis; policy evaluation
- Citation
- 한국컴퓨터정보학회논문지, v.22, no.10, pp.73 - 81
- Indexed
- KCI
- Journal Title
- 한국컴퓨터정보학회논문지
- Volume
- 22
- Number
- 10
- Start Page
- 73
- End Page
- 81
- ISSN
- 1598-849X
- Abstract
- In this paper, we propose an analysis framework to capture the trends of information security incidents and evaluate the security policy based on the incident analysis. We build a big data from news media collecting security incidents news and policy news, identify key trends in information security from this, and present an analytical method for evaluating policies from the point of view of incidents. In more specific, we propose a network-based analysis model that allows us to easily identify the trends of information security incidents and policy at a glance, and a cosine similarity measure to find important events from incidents and policy announcements.
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Collections - School of Cyber Security > Department of Information Security > 1. Journal Articles
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