Low Size Cipher Text Homomorphic Encryption Scheme for Cloud Data

2017 ◽  
Vol 4 (1) ◽  
pp. 13-20
Author(s):  
Manish M. Potey ◽  
◽  
C. A. Dhote ◽  
Deepak H. Sharma ◽  
◽  
...  
Keyword(s):  
Homomorphic Encryption ◽  
Encryption Scheme ◽  
Cloud Data ◽  
Cipher Text

scholarly journals Survey on Securing IoT Data using Homomorphic Encryption Scheme

2021 ◽  
Vol 10 (4) ◽  
pp. 76-81
Author(s):  
Anita Chaudhari ◽  
Rajesh Bansode
Keyword(s):  
Data Privacy ◽  
Homomorphic Encryption ◽  
Computational Cost ◽  
Computation Time ◽  
Cloud Services ◽  
Cloud Provider ◽  
Encryption Scheme ◽  
Sensitive Data ◽  
Cloud Data ◽  
Data User

In today’s world everyone is using cloud services. Every user uploads his/her sensitive data on cloud in encrypted form. If user wants to perform any type of computation on cloud data, user has to share credentials with cloud administrator. Which puts data privacy on risk. If user does not share his/her credentials with cloud provider, user has to download all data and only then decryption process and computation can be performed. This research, focuses on ECC based homomorphic encryption scheme is good by considering communication and computational cost. Many ECC based schemes are presented to provide data privacy. Analysis of different approaches has been done by selecting different common parameters. Based on the analysis minimum computation time is 0.25 Second required for ECC based homomorphic encryption (HE).

Asymmetric Encryption Scheme to Protect Cloud Data Using Paillier-Cryptosystem

2021 ◽  
Vol 12 (2) ◽  
pp. 50-58
Author(s):  
Jaydip Kumar ◽  
Vipin Saxena
Keyword(s):  
Programming Languages ◽  
Homomorphic Encryption ◽  
Data Encryption ◽  
Object Oriented Programming ◽  
Significant Advance ◽  
Shared Resources ◽  
Cloud Data ◽  
Security Issues ◽  
Cipher Text ◽  
Paillier Cryptosystem

Cloud computing is used for large shared resources to facilitate execution and storage. So there is a need of resolving crucial security issues to avoid data theft. Hence cloud security provides data encryption for security parameters to change plain-text to cipher-text. The homomorphic encryption technique is used for performing operations on encrypted data. To manage the huge and growing informational collections that are being prepared these days, great encryption execution is a significant advance for the common sense of homomorphic encryption techniques, the Paillier cryptosystem is also used by researchers for securing the decimal digits of information. In the present work, a hybrid Paillier cryptosystem technique is used for reducing the bit length of the cipher-text by performing hex code operations on encryption. The proposed method has been implemented in the use of two object-oriented programming languages i.e. C++ and Python programming languages. The simulated results show the minimum encrypted bit length as well as provide more secure data. And we have also analyzed our algorithm based on the two parameters namely space complexity and time complexity which are represented in the form of tables and graphs given below.

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