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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
Authors
정성훈김휘강우지영
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
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/85240
DOI
10.9708/jksci.2017.22.10.073
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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