Massive Data Hybrid Encryption Algorithm Based on Cloud Computing

Article Preview

Abstract:

In order to ensure the security of massive data and user’s privacy in cloud computing, encrypting is a preferred method to protect their security. Due to some characteristics of massive data,such as large scale and structural complexity, it makes that the traditional encryption algorithms cannot be directly used to protect the security of massive data in cloud computing. Considering the real-time and reliability of encryption algorithms, we propose a hybrid algorithm, which combines DES algorithm and one-dimensional logistic map by using the parallel computing architecture of the MapReduce. Our experimental results and analysis show that our algorithm could effectively implement massive data encryption with high security.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1864-1867

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ren K, Wang C and Wang Q. Security challenges for the public cloud [J]. IEEE Internet Computing, 2012, 16(1): 69-73.

DOI: 10.1109/mic.2012.14

Google Scholar

[2] Wang J K, Jia X P. Data security and authentication in hybrid cloud computing model [C]. In: 2012 IEEE on Global High Tech Congress on Electronics, 2012: 117-120.

DOI: 10.1109/ghtce.2012.6490136

Google Scholar

[3] Wang M M,Zhu G L, Zhang X Q. General survey on massive data encryption [C]. Proceedings-2012 8th International Conference on Computing Technology and Information Management, 2012 : 150-155.

Google Scholar

[4] Guo P, Su L, Ning L, et al. Hybrid encryption algorithms in cloud computing [J]. Information Technology Journal, 2013, 12(14): 3015-3019.

DOI: 10.3923/itj.2013.3015.3019

Google Scholar

[5] Shvachko K, Kuang H, Radia S, et al. The hadoop distributed file system[C]. Mass Storage Systems and Technologies (MSST), 2010 IEEE 26th Symposium on. IEEE, 2010: 1-10.

DOI: 10.1109/msst.2010.5496972

Google Scholar

[6] Dean J, Ghemawat S. MapReduce: simplified data processing on large clusters [J]. Communications of the ACM, 2008, 51(1): 107-113.

DOI: 10.1145/1327452.1327492

Google Scholar

[7] Kocarev L. Chaos-based cryptography: a brief overview [J]. IEEE Circuits and Systems Magazine, 2001, 1(3): 6-21.

DOI: 10.1109/7384.963463

Google Scholar

[8] Shi J G, Zheng Y, Sun H L, et al. Parallel processing of block cipher for massive data in cloud computing [J]. Journal of Frontiers of Computer Science and Technology, 2014, 8(02): 0161-10.

Google Scholar