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http://dx.doi.org/10.9708/jksci.2017.22.10.073

The big data analysis framework of information security policy based on security incidents  

Jeong, Seong Hoon (Graduate School of Information Security, Korea University)
Kim, Huy Kang (Graduate School of Information Security, Korea University)
Woo, Jiyoung (Dept. of Big Data Engineering, Soonchunhyang University)
Publication Information
Journal of the Korea Society of Computer and Information / v.22, no.10, 2017 , pp. 73-81 More about this Journal
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.
Keywords
big data; information security policy; information security incident; text analysis; policy evaluation;
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