Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud

被引：0
|
作者：
Al-Odat, Zeyad A. [1 ]
Khan, Samee U. [1 ]
机构：
[1] North Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58105 USA
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2019年
基金：
美国国家科学基金会;
关键词：
Cloud; Privacy; Security; MapReduce; Big Data;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces an anonymous privacy preserving scheme for big data over the cloud. The proposed design helps to enhance the encryption/decryption time of big data by utilizing the MapReduce framework. The Hadoop distributed file system and the secure hash algorithm are employed to provide the anonymity, security and efficiency requirements for the proposed scheme. The experimental results show a significant enhancement in the computational time of data encryption and decryption.
引用
收藏
页码：5711 / 5717
页数：7
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