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http://dx.doi.org/10.13089/JKIISC.2013.23.5.969

A study on the security policy improvement using the big data  

Kim, Song-Young (Korea University, Graduate School of Information Security)
Kim, Joseph (Korea University, Graduate School of Information Security)
Lim, Jong-In (Korea University, Graduate School of Information Security)
Lee, Kyung-Ho (Korea University, Graduate School of Information Security)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.23, no.5, 2013 , pp. 969-976 More about this Journal
Abstract
The information protection systems of company are intended to detect all weak points, intrusion, document drain. All actions of people in company are recorded and can check persistently. On the other hand, what analyze security log generated by these systems becomes more difficult. Most staff who manages the security systems, and analyze log is more incomprehensible than a user or a person of drain for an information distribution process of the work-site operations and the management procedure of the critical information. Such a reality say the serious nature of the internal information leakage that can be brought up more. While the research on the big data proceeds actively recently, the successful cases are being announced in the various areas. This research is going to present the improved big data processing technology and case of the security field.
Keywords
Big Data; Internal Information Leakage; Data Mining;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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