Making data in cloud secure and usable: fully homomorphic encryption with symmetric keys. (2015)

• Record Type: Journal Article
• Authors: Sharma, Iti; Gupta, C.P.
• Is Part Of: International journal of communication networks and distributed systems. Volume 14:Number 4(2015)
• Page Start: 379
• Page End: 399
• Publication Date: 2015
• Subjects: homomorphic encryption -- computation delegation -- private data processing -- cloud computing -- data aggregation -- sensor networks -- data security -- cloud security -- data usability -- symmetric keys -- cryptography; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

Abstract

Today, cloud offers unlimited computing capabilities at affordable price. However, securing data in cloud ensuring usability and availability of data presents a challenge. Benefits promised by cloud computing cannot be availed fully until security issues are properly addressed. Homomorphic encryption ensures data security during computation as well. Most of the currently available homomorphic encryption schemes are based on public key cryptosystems causing large overhead. We propose a symmetric key encryption scheme with fully homomorphic evaluation capabilities, applicable even in multiuser environment. We also present a protocol for using the proposed scheme to private data processing in clouds. The proposed scheme requires a key size linearly proportional to security parameter causing computational overhead proportional to security parameter.