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A Study on Classification and Processing of Events to Improve Efficiency of Convergence Security Control System  

Kim, Sung Il (SK / 융합서비스개발그룹)
Kim, Jong Sung (SK / 융합서비스개발그룹)
Publication Information
Convergence Security Journal / v.17, no.3, 2017 , pp. 41-49 More about this Journal
Abstract
According to a research by global IT market research institute IDC, CSIM(Converged Security Information Management) market of Korea was estimated to be 1.7 trillion KRW in 2010, and it has grown approximately 32% every year since. IDC forcasts this size to grow to 12.8 trillion KRW by 2018. Moreover, this case study exemplifies growing importance of CSIM market worldwide. Traditional CSIM solution consists of various security solutions(e.g. firewall, network intrusion detection system, etc.) and devices(e.g. CCTV, Access Control System, etc.). With this traditional solution, the the data collected from these is used to create events, which are then used by the on-site agents to determine and handle the situation. Recent development of IoT industry, however, has come with massive growth of IoT devices, and as these can be used for security command and control, it is expected that the overall amount of event created from these devices will increase as well. While massive amount of events could help determine and handle more situations, this also creates burden of having to process excessive amount of events. Therefore, in this paper, we discuss potential events that can happen in CSIM system and classify them into 3 groups, and present a model that can categorize and process these events effectively to increase overall efficieny of CSIM system.
Keywords
Convergence Security; Security Management System; Event Classification;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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