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Conference Paper Building a Big Data Platform for Large-scale Security Data Analysis
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Authors
Jong-Hoon Lee, Young Soo Kim, Jong Hyun Kim, Ik Kyun Kim, Ki-Jun Han
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.977-981
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190830
Project Code
17HH1900, Cloud based Security Intelligence Technology Development for the Customized Security Service Provisioning, Kim Jonghyun
Abstract
The conventional security systems require to have an intelligent and integrated security technology that can analyze network and system events using large-capacity data of various security sources. In order to detect the cyber threats and enable intelligent ways of correlation analysis among security data, the paper develops and deploys the Big Data platform which can provide to collect, process and store the massive security log events, and can retrieve the information from long-term data. Also we evaluates the performance of proposed Big Data platform through the experiment.
KSP Keywords
Big data platform, Correlation Analysis, Cyber threats, Large capacity, Security data analysis, integrated security, large-scale, long-term data, security system, security technology