Toward a Cloud-based security intelligence with big data processing

被引:0
|
作者
Benzidane, Karim [1 ]
El Alloussi, Hassan [1 ]
El Warrak, Othman [1 ]
Fetjah, Leila [1 ]
Andaloussi, Said Jai [1 ]
Sekkaki, Abderrahim [1 ]
机构
[1] Univ Hassan 2, Fac Sci Ain Chock, Dept Comp Sci, Casablanca, Morocco
关键词
Cloud Computing; Security Information and Event Management (SIEM); Security Intelligence; Big Data; Hadoop; Spark;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As the adoption of Cloud Computing is growing exponentially, a huge sheer amount of data is generated therefore needing to be processed in order to control efficiently what is going within the infrastructure, and also to respond effectively and promptly to security threats. Herein, we provide a highly scalable plugin based and comprehensive solution in order to have a real-time monitoring by reducing the impact of an attack or a particular issue in the overall distributed infrastructure. This work covers a bigger scope in infrastructure security by monitoring all devices that generate log files or generate network traffic. By applying different Big Data techniques for data analysis, we can ensure a responsive solution to any problem ( security or other) within the infrastructure and acting accordingly.
引用
收藏
页码:1089 / 1092
页数:4
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