计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (20): 91-95.

• 网络、通信、安全 • 上一篇    下一篇

Hadoop平台下全局扩散性分组排列算法研究与实现

周  庆,王  宏   

  1. 重庆大学 计算机学院,重庆 400044
  • 出版日期:2014-10-15 发布日期:2014-10-28

Study and implementation of block-encryption permutation algorithm based on Hadoop platform

ZHOU Qing, WANG Hong   

  1. College of Computer Science, Chongqing University, Chongqing 400044, China
  • Online:2014-10-15 Published:2014-10-28

摘要: 随着云计算技术的蓬勃发展,各种应用产生的数据量日益庞大,然而目前大规模数据集的安全并未得到充分保障。密码学是确保数据安全的有效手段,但是将传统加密方法直接应用于大数据加密存在安全隐患。提出了针对大规模数据集加密的排列算法,包括两方面工作:提出一种适用于大规模数据集的分组加密排列算法,对数据规模为[2mN<2m+1]的数据集,经过[m+2]轮加密可实现全局扩散;基于MapReduce编程模型,在Hadoop平台上实现了分组加密排列算法。理论分析与实验结果表明,该排列算法具有优异的全局扩散性。

关键词: 云计算, 密码学, 排列, 扩散, Hadoop平台, MapReduce

Abstract: With the development of the cloud-computing technology, the volume of data generated and processed by?various applications?is becoming increasingly large. However, the security of large-scale data sets is not well ensured currently. Although cryptography is an important tool to guarantee data security, secure problems occur when conventional encryption algorithms are applied directly to?large-scale data sets. In this paper, an algorithm for encrypting large-scale data sets is?proposed. To implement this algorithm, it proposes a grading permutation algorithm for encrypting large-scale data sets. Global diffusion?can be achieved for a data set?with size of [N(2mN<2m+1)] after the data set is encrypted for?m+2 cycles. Then, the algorithm is implemented?on the Hadoop platform based on the?MapReduce programming model. Theoretical analyses and experiments show?that this algorithm features splendid global diffusibility for large-scale data set encryption. Compared with traditional algorithms, the proposed algorithm has significant advantages in parallelism and?computation efficiency.

Key words: cloud-computing, cryptography, permutation, diffusion, Hadoop platform, MapReduce