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Building a big data platform for large-scale security data analysis

机译:为大规模安全数据分析构建大数据平台

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摘要

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.
机译:传统的安全系统需要具有智能和集成的安全技术,可以使用各种安全源的大容量数据分析网络和系统事件。为了检测网络威胁并使安全数据之间的相关性分析智能相关性分析,该文件开发和部署了可以提供收集,处理和存储大规模安全日志事件的大数据平台,并且可以从长期检索信息术语数据。此外,我们通过实验评估了提出的大数据平台的性能。

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