Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud
Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud
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DOI：
10.1109/bigdata47090.2019.9006167
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
Zeyad A. Al-Odat;S. Khan
中科院分区：
文献类型：
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作者：
Zeyad A. Al-Odat;S. Khan
提出了一种云上大数据匿名隐私保护方案。该设计利用MapReduce框架提高了大数据的加解密时间。该方案采用Hadoop分布式文件系统和安全散列算法，满足了方案的匿名性、安全性和效率要求。实验结果表明，该算法在数据加解密的计算时间上有显著提高。
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.