Modified Fully Homomorphic Encryption based on Parallel Processing in Cloud Computing

Authors

  • Parth Tandel  Mukesh Patel School of Technology Management and Engineering, Shirpur, Maharashtra, India
  • Abhinav Shubhrant  Mukesh Patel School of Technology Management and Engineering, Shirpur, Maharashtra, India
  • Mayank Sohani  Mukesh Patel School of Technology Management and Engineering, Shirpur, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT217252

Keywords:

Cloud Computing, Encryption, Homomorphic Encryption, Fully Homomorphic Encryption, Parallel Computing, Parallel Processing, Partitioning.

Abstract

Cloud Computing is widely regarded as the most radically altering trend in information technology. However, great benefits come with great challenges, especially in the area of data security and privacy protection. Since standard cloud computing uses plaintext, certain encryption algorithms were implemented in the cloud for security reasons, and ‘encrypted' data was then stored in the cloud. Homomorphic Encryption (HE), a modern kind of encryption strategy, is born as a result of this change. Primarily, the paper will focus on implementing a successful Homomorphic Encryption (HE) scheme for polynomials. Furthermore, the objective of the paper is to propose, produce and implement a method to convert the already implemented sequentially processing Homomorphic Encryption into parallel processing Homomorphic Encryption (HE) using a Parallel Processing concept (Partitioning, Assigning, Scheduling, etc) and thereby producing a better performing Homomorphic Encryption (HE) called Fully Homomorphic Encryption (FHE). Fully Homomorphic Encryption (FHE) is an encryption technique that can perform specific analytical operations, functions and methods on normal or encrypted data and can still perform traditional encryption results as performed on plaintext. The three major reasons for implementing Fully Homomorphic Encryption (FHE) are advantages like no involvement of third parties, trade-off elimination between privacy and security and quantum safety.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

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How to Cite

[1]
Parth Tandel, Abhinav Shubhrant, Mayank Sohani, " Modified Fully Homomorphic Encryption based on Parallel Processing in Cloud Computing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.250-262, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT217252