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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 5, Issue 4, Part B (2019)

Secure multiparty computation for public cloud

Secure multiparty computation for public cloud

Author(s)
Varsha Shingade, Yugalee Patil, Apoorva Patil, Harshada Patange and Dr. Dhananjay Dakhane
Abstract
Cloud Computing is a paradigm shift from the distributed computing where an organization uses resources “as service”. However, users of the cloud are worrying about the privacy of their data that has been supplied to the cloud provider [4]. The solutions to these problems can be provided by the protocols of the Secured Multiparty Cloud Computing (SMCC) [2]. Secure Multiparty Computation (SMC) is a paradigm that keeps data of individual parties as secret and provides the private data for computation to evaluate some function of their common interest. The outcome of the computation is made available to all the parties. In this report, we propose SMC solution techniques that can be embedded while designing architecture of cloud computing especially when multiple users of cloud jointly compute some function of their private data inputs. With our experience of developing protocols and devising algorithms for SMC problem we anticipate a crucial role of SMC in cloud computing. In this report, we also explore scenario while discussing various protocols of SMC and their application, with the design of SMC Architecture [1].
Pages: 66-69  |  766 Views  74 Downloads
How to cite this article:
Varsha Shingade, Yugalee Patil, Apoorva Patil, Harshada Patange, Dr. Dhananjay Dakhane. Secure multiparty computation for public cloud. Int J Appl Res 2019;5(4):66-69.
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