Please use this identifier to cite or link to this item:
Title: Symmetric-key homomorphic encryption for encrypted data processing
Authors: Chan, A.C.-F. 
Issue Date: 2009
Citation: Chan, A.C.-F. (2009). Symmetric-key homomorphic encryption for encrypted data processing. IEEE International Conference on Communications. ScholarBank@NUS Repository.
Abstract: The difficulty of processing data in encrypted form has long been the barrier to the widespread use of encryption in data storage applications; improved security or privacy would always imply a sacrifice of functionality. Many applications, such as ASP, requiring a significant amount of processing at the data storage servers are hence precluded from using encryption to protect data privacy. To address this problem, this paper works on privacy homomorphism which allows encrypted data to be operated on. Two additive homomorphic schemes, namely Iterated Hill Cipher (IHC) and Modified Rivest Scheme (MRS), are given. They are secure to ciphertext-only attacks and have the nice property that the same data may have different representations in the encrypted domain. ©2009 IEEE.
Source Title: IEEE International Conference on Communications
ISBN: 9781424434350
ISSN: 05361486
DOI: 10.1109/ICC.2009.5199505
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on May 23, 2019

Page view(s)

checked on May 22, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.