Privacy Preserving Outsourced Calculations with Symmetric Fully Homomorphic Encryption
C.N. Umadevi1, N.P. Gopalan2
1C.N. Umadevi, Research and Development Centre, Bharathiar University, Coimbatore, (Tamil Nadu), India.
2N.P. Gopalan, Department of Computer Applications, National Institute of Technology, Trichy, (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 22 August 2019 | Manuscript published on 30 August 2019 | PP: 3012-3015 | Volume-8 Issue-10, August 2019 | Retrieval Number: J94570881019/19©BEIESP | DOI: 10.35940/ijitee.J9457.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is a new paradigm which provides cloud storage service to manage, maintain and back up private data remotely. For privacy concerns the data is kept encrypted and made available to users on demand through cloud service provider over the internet. The legacy encryption techniques rely on sharing of keys, so service providers and end users of the cloud have exclusive rights on the data thus the secrecy may loss. Homomorphic Encryption is a significant encryption technique which allows users to perform limited arithmetic on the enciphered data without loss of privacy and security. This paper addresses a new simple and non-bootstrappable Fully Homomorphic Encryption Scheme based on
matrices as symmetric keys with access control.
Keywords: Access Policy, Fibonacci P-Number, Fully Homomorphic Encryption, Smith Normal Form, Semantic Secure.
Scope of the Article: Social Sciences