Guaging the Effectivity of Existing Security Measures for Big Data in Cloud Environment

被引:1
作者
Dule, Chhaya S. [1 ,2 ,3 ]
Girijamma, H. A. [1 ,3 ]
机构
[1] RNS Inst Technol, Dept CSE, Bangalore, Karnataka, India
[2] Jyothy Inst Technol, Bangalore, Karnataka, India
[3] VTU, Dept CSE, Belgaum, Karnataka, India
来源
SOFTWARE ENGINEERING TRENDS AND TECHNIQUES IN INTELLIGENT SYSTEMS, CSOC2017, VOL 3 | 2017年 / 575卷
关键词
Big data; Cloud; Privacy; Security; Tools; DATA-SCIENCE;
D O I
10.1007/978-3-319-57141-6_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As the technology is improving, today's era is focusing towards big data. In that sense, various organizations are demanding an efficient data storage mechanism and also the efficient data analysis. The Big Data (BD) also faces some of the security issues for the important data or information which is shared or transferred over the cloud. These issues include the tampering, losing control over the data, etc. This survey work offers some of the interesting, important aspects of big data including the high security and privacy issue. In this, the survey of existing research works for the preservation of privacy and security mechanism and also the existing tools for it are stated. The discussions for upcoming tools which are needed to be focused on performance improvement are discussed. With the survey analysis, a research gap is illustrated, and a future research idea is presented.
引用
收藏
页码:209 / 219
页数:11
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