Securing Big Data in the Cloud with Integrated Auditing

被引:2
|
作者
Wang, Yong [1 ]
Rawal, Bharat [2 ]
Duan, Qiang [2 ]
机构
[1] Alcorn State Univ, Dept Comp Sci & Math, Lorman, MS 39096 USA
[2] Penn State Univ, Informat Sci & Technol, Abington, PA 19001 USA
关键词
security; big data; integrated; auditing; cloud;
D O I
10.1109/SmartCloud.2017.26
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we review big data characteristics and security challenges in the cloud and visit different cloud domains and security regulations. We propose using integrated auditing for secure data storage and transaction logs, real-time compliance and security monitoring, regulatory compliance, data environment, identity and access management, infrastructure auditing, availability, privacy, legality, cyber threats, and granular auditing to achieve big data security. We apply a stochastic process model to conduct security analyses in availability and mean time to security failure. Potential future works are also discussed.
引用
收藏
页码:126 / 131
页数:6
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