본문 바로가기
  • Home

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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2017, 22(10), pp.73-81
  • DOI : 10.9708/jksci.2017.22.10.073
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 1, 2017
  • Accepted : September 18, 2017
  • Published : October 31, 2017

Seonghoon Jeong 1 Huy-Kang Kim 1 Jiyoung Woo 2

1고려대학교
2순천향대학교

Accredited

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.

Citation status

* References for papers published after 2022 are currently being built.