Abstract
Data generation and consumption are becoming a main part of daily life. Huge volume of data is available over the Internet; preprocessing of these data is a challenging task. The data preprocessing is used to process the raw data into precise data and store in the cloud. Providing security to this data is another challenging issue. Earlier, data owners were not ready to send their data to centralized sites because of the privacy issue. Nowadays, two types of encryption techniques are applied to data stored in the cloud and data is more secured. In this paper, we proposed compressed homomorphic encryption technique (CHET) which combines the compression technique to encrypt the data so it reduces the file transfer time and encrypt time, and it provides security. Data owner can decrypt the data when required. The homomorphic function is allowed to compute encryption time. Our experiment results show that CHET outperforms 10% in compression and encryption time and provides high security than RSA and BGV.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P. Paillier, Public-key cryptosystems based on composite degree residuosity classes, in International Conference on the Theory and Applications of Cryp- tographic Techniques (Springer, Berlin, 1999), pp. 223–238
T. Elgamal, A public key cryptosystem and a signature scheme based on dis-crete logarithms. IEEE Trans. Inf. Theor. 31(4), 469–472 (1985). IEEE
E.F. Brickell, T. Yacobi, On privacy homomorphisms, in Workshop on the Theory and Application of of Cryptographic Techniques (Springer, Berlin, 1987), pp. 117–125
S. Fau, R. Sirdey, C. Fontaine, C. Aguilar-Melchor, G. Gogniat, Towards practical program execution over fully homomorphic encryption schemes, in Eighth International Conference P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) (IEEE Press, 2003), pp. 284–290
G.V.S. Rao, G. Uma, An efficient secure message transmission in mobile ad hoc networks using enhanced homomorphic encryption scheme. Global J. Comput. Sci. Technol., 543–552 (2013)
M.J. Zaki, Scalable algorithms for association mining. IEEE Trans. Knowl. Data Eng. 12(3), 372–390 (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chandrashekar, D.K., Srikantaiah, K.C., Venugopal, K.R. (2019). Homomorphic Encryption Scheme for Data Security in Cloud Using Compression Technique. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_24
Download citation
DOI: https://doi.org/10.1007/978-981-13-3600-3_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3599-0
Online ISBN: 978-981-13-3600-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)