z-logo
open-access-imgOpen Access
Data Confidentiality in Cloud using Multi-party Computation
Author(s) -
Manish Kumar,
P. Ramya,
R. Poojitha,
Maddula Padma Priya Lahari
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8015.019320
Subject(s) - homomorphic encryption , computer science , cloud computing , computer security , encryption , computation , secure multi party computation , server , confidentiality , secure two party computation , cryptography , protocol (science) , key (lock) , client side encryption , public key cryptography , computer network , on the fly encryption , algorithm , operating system , medicine , alternative medicine , pathology
A new era has approached where we are storing our information in cloud and performing several computations on powerful servers remotely. In cloud, data is not completely secured and sometimes under the control of untrusted Third parties. Some secured protocols are being implemented. The secure multi-party computation protocol, which is existing, demands the inputs to be encrypted using a public key. So, these reasons limit this Secure Multi-party computation to be employed. In the current paper, we put forward a protocol named homomorphic encryption where the input function is being encrypted by different key. This paper also uses Multi-party computation which is one of the most secured technique in cryptography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here