Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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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)
  • Received : 2017.08.01
  • Accepted : 2017.09.18
  • Published : 2017.10.31
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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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