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학술대회 Building a Big Data Platform for Large-scale Security Data Analysis
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저자
이종훈, 김영수, 김종현, 김익균, 한기준
발행일
201710
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.977-981
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190830
협약과제
17HH1900, 맞춤형 보안서비스 제공을 위한 클라우드 기반 지능형 보안 기술 개발, 김종현
초록
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.
키워드
Big Data, Large-sclae Security Data, SECaaS, Security Analysis
KSP 제안 키워드
Big data platform, Correlation Analysis, Cyber threats, Large capacity, Security data analysis, integrated security, large-scale, long-term data, security analysis, security system, security technology